phd medical imaging technology

Imaging Science Doctor of Philosophy (Ph.D.) Degree

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Reach the pinnacle of status of higher education in imaging science acquiring the capabilities, skills, and experience to succeed in this diverse field.

Overview for Imaging Science Ph.D.

The Ph.D. in imaging science signifies high achievement in scholarship and independent investigation in the diverse aspects of imaging science. Students contribute their fundamental body of knowledge in science and engineering that is associated with this field of study. As an imaging Ph.D. candidate, you’ll acquire the capabilities, skills, and experience to continue to expand the limits of the discipline and meet future scholarly, industrial, and government demands on the field.

Candidates for the doctoral degree must demonstrate proficiency by:

• Successfully completing course work, including a core curriculum, as defined by the student’s plan of study;
• Passing a series of examinations; and
• Completing an acceptable dissertation under the supervision of the student’s research advisor and dissertation committee.

Plan of Study

All students must complete a minimum of 60 credit hours of course work and research. The core curriculum spans and integrates a common body of knowledge essential to an understanding of imaging processes and applications. Courses are defined by the student’s study plan and must include core course sequences plus a sequence in a topical area such as remote sensing, digital image processing, color imaging, digital graphics, electro-optical imaging systems, and microlithographic imaging technologies.

Students may take a limited number of credit hours in other departments and must complete research credits including two credits of research associated with the research seminar course, Graduate Seminar.

Graduate elective courses offered by the Chester F. Carlson Center for Imaging Science (and other RIT academic departments in fields closely allied with imaging science) allow students to concentrate their studies in a range of imaging science research and imaging application areas, including electro-optical imaging, digital image processing, color science, perception and vision, electrophotography, lithography, remote sensing, medical imaging, electronic printing, and machine vision.

Advancement to Candidacy

Advancement to candidacy occurs through the following steps:

• Advisor selection
• Submission and approval of a preliminary study plan
• Passing a written qualifying exam
• Study plan revision based on the outcome of qualifying exam and adviser recommendation
• Research committee appointment
• Candidacy exam based on thesis proposal

Following the qualifying exam, faculty decide whether a student continues in the doctoral program or if the pursuit of an MS degree or other program option is more acceptable. For students who continue in the doctoral program, the student's plan of study will be revised, a research committee is appointed, candidacy/proposal exams are scheduled, and, finally, a dissertation defense is presented.

Research Committee

Prior to the candidacy exam, the student, in consultation with an advisor, must present a request to the graduate program coordinator for the appointment of a research committee. The committee is composed of at least four people: an advisor, at least one faculty member who is tenured (or tenure-track) and whose primary affiliation is the Carlson Center for Imaging Science (excluding research faculty), a person competent in the field of research who is an RIT faculty member or affiliated with industry or another university and has a doctorate degree, and the external chair. The external chair must be a tenured member of the RIT faculty who is not a faculty member of the center and who is appointed by the dean of graduate education. The committee supervises the student’s research, beginning with a review of the research proposal and concluding with the dissertation defense.

Research Proposal

The student and their research advisor select a research topic for the dissertation. Proposed research must be original and publishable. Although the topic may deal with any aspect of imaging, research is usually concentrated in an area of current interest within the center. The research proposal is presented to the student's research committee during the candidacy exam at least six months prior to the dissertation defense.

Final Examination of the Dissertation

The research advisor, on behalf of the student and the student's research committee, must notify the graduate program coordinator of the scheduling of the final examination of the dissertation by forwarding to the graduate program coordinator the title and abstract of the dissertation and the scheduled date, time, and location of the examination. The final examination of the dissertation may not be scheduled within six months of the date on which the student passed the candidacy exam (at which the thesis proposal was presented and approved).

Barring exceptional circumstances (requiring permission from the graduate program coordinator), the examination may not be scheduled sooner than four weeks after formal announcement (i.e. center-wide hallway postings and email broadcast) has been made of the dissertation title and abstract and the defense date, time, and location.

The final examination of the dissertation is open to the public and is primarily a defense of the dissertation research. The examination consists of an oral presentation by the student, followed by questions from the audience. The research committee may also elect to privately question the candidate following the presentation. The research committee will immediately notify the candidate and the graduate program coordinator of the examination result.'

All students in the program must spend at least two consecutive semesters (summer excluded) as resident full-time students to be eligible to receive the doctoral degree. If circumstances warrant, the residency requirement may be waived via petition to the graduate program coordinator, who will decide on the student’s petition in consultation with the advisor and graduate faculty. The request must be submitted at least nine months prior to the thesis defense.

Maximum Time Limit

University policy requires that doctoral programs be completed within seven years of the date of the student passing the qualifying exam. Bridge courses are excluded.

All candidates must maintain continuous enrollment during the research phase of the program. Such enrollment is not limited by the maximum number of research credits that apply to the degree. Normally, full-time students complete the course of study for the doctorate in approximately three to five years. A total of seven years is allowed to complete the degree after passing the qualifying exam.

National Labs Career Fair

Hosted by RIT’s Office of Career Services and Cooperative Education, the National Labs Career Fair is an annual event that brings representatives to campus from the United States’ federally funded research and development labs. These national labs focus on scientific discovery, clean energy development, national security, technology advancements, and more. Students are invited to attend the career fair to network with lab professionals, learn about opportunities, and interview for co-ops, internships, research positions, and full-time employment.

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Discover how graduate study at RIT can help further your career objectives.

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The College of Science consistently receives research grant awards from organizations that include the National Science Foundation , National Institutes of Health , and NASA , which provide you with unique opportunities to conduct cutting-edge research with faculty. Faculty from the Chester F. Carlson Center for Imaging Science conduct research on a broad variety of topics including:

• cultural heritage imaging
• detectors and imaging systems
• human and computer vision
• remote sensing
• nanoimaging
• magnetic resonance
• optical imaging

Learn more by exploring the Carlson Center's  imaging science research areas .

David Messinger

Charles Bachmann

Emmett Ientilucci

Featured Work and Profiles

RIT researcher receives Department of Energy grant to develop synthetic aperture radar technology

Sandia National Laboratories awards a grant to James Albano, a researcher/engineer at RIT's Chester F. Carlson Center for Imaging Science, for remote sensing projects.

Ph.D. student applies imaging science to preventing disasters

Kamal Rana, an imaging science Ph.D. student from India has helped create algorithms to identify upcoming landslides.

Related News

May 20, 2024

RIT research examines spread and flow of soil contaminants

Understanding how contaminants in porous materials flow and are transported is key in the fields of industry, medicine, and environmental science. A two person team in the School of Physics and Astronomy recently had their research on the topic published and featured on the cover of Soft Matter , a journal by the Royal Society of Chemistry.

April 10, 2024

University researchers measure the sun during the eclipse to assess impact on solar arrays

The recent total solar eclipse over Rochester provided a once-in-a-lifetime opportunity on Earth for two faculty-researchers and their students to capture data about the effects of the sun’s energy during a total eclipse.

April 8, 2024

Researchers introduce new way to study, help prevent landslides

Landslides are one of the most destructive natural disasters on the planet, causing billions of dollars of damage and devastating loss of life every year. A global team of researchers has provided help for those who work to predict landslides and risk evaluations.

Curriculum for 2024-2025 for Imaging Science Ph.D.

Current Students: See Curriculum Requirements

Imaging Science, Ph.D. degree, typical course sequence

Students are also interested in

• Imaging Science MS
• Astrophysical Sciences and Technology MS

Admissions and Financial Aid

This program is available on-campus only.

Full-time study is 9+ semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Imaging Science Ph.D. program, candidates must fulfill the following requirements:

• Learn tips to apply for a doctoral program and then complete a graduate application .
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college in the physical sciences, mathematics, computer science, or engineering. A minimum cumulative GPA of 3.0 (or equivalent) is recommended.
• Submit a current resume or curriculum vitae.
• Submit a statement of purpose for research which will allow the Admissions Committee to learn the most about you as a prospective researcher.
• Submit two letters of recommendation .
• Entrance exam requirements: GRE optional but recommended. No minimum score requirement.
• Submit English language test scores (TOEFL, IELTS, PTE Academic), if required. Details are below.

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver .

International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply   Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Ph.D. students typically receive full tuition and an RIT Graduate Assistantship that will consist of a research assistantship (stipend) or a teaching assistantship (salary).

CHIPR (Cultural Heritage Imaging, Preservation, and Research) Chats

Imaging Science Seminar: Computational Framework for the Elastography Inverse Problem

Medical Imaging MRes + MPhil/PhD

London, Bloomsbury

This degree aims to train future leaders in AI-powered medical imaging innovations. From undertaking next-generation medical imaging research, development and enterprise, to producing intelligent, radical healthcare innovations focused on either imaging or imaging-enabled systems, this group of researchers are working to transform healthcare and medicine.

UK tuition fees (2024/25)

Overseas tuition fees (2024/25), programme starts, applications accepted.

Applications closed

• Entry requirements

A minimum of an upper second-class UK Bachelor’s degree in Physics, Engineering, Computer Science, Mathematics, or another closely related discipline, or an overseas qualification of an equivalent standard. Knowledge and expertise gained in the workplace may also be considered, where appropriate.

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

If you are intending to apply for a time-limited visa to complete your UCL studies (e.g., Student visa, Skilled worker visa, PBS dependant visa etc.) you may be required to obtain ATAS clearance . This will be confirmed to you if you obtain an offer of a place. Please note that ATAS processing times can take up to six months, so we recommend you consider these timelines when submitting your application to UCL.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website .

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

In partnership with our NIHR Biomedical Research Centres and Unit, PhD projects will be strongly multi-disciplinary, bridging the gap between engineering, clinical sciences and industry. Over 100 non-clinical and clinical scientists across UCL will partner to co-supervise a new type of individual, ready to transform healthcare and build the future UK industry in this area.

Who this course is for

As a multi-disciplinary subject at the interface of physics, engineering, life sciences and computer science, our postgraduate students have a diverse range of options upon graduation. Many choose to continue in academia through the subsequent award of a PhD studentship or a postdoctoral research post.

What this course will give you

The programme sits within i4health, a new centre for doctoral training focused on intelligent, integrated imaging in healthcare. The i4health centre aims to transform patient care through next-generation imaging tools and analysis. UCL's internationally leading positions in medical imaging and devices, data science and AI, robotics, and human-centred design, together with unique access to healthcare data and equipment, ideally place our centre to lead this transformation. UCL has significant activity in medical and biomedical imaging and several centres of excellence in their own right, and receives significant funding for its high-quality research. The Engineering and Physical Sciences Research Council (EPSRC) is a British Research Council which funds the i4health centre among other centres for doctoral training. UCL currently holds over 40% of the EPSRC funding portfolio in medical imaging more than any other university.

The foundation of your career

Postgraduate study within the department offers the chance to develop important skills and acquire new knowledge through involvement with a team of scientists or engineers working in a world-leading research group. Graduates complete their study having gained new scientific or engineering skills applied to solving problems at the leading edge of human endeavour. Skills associated with project management, effective communication and teamwork are also refined in this high-quality working environment.

Employability

A common career route is employment in industry where newly-acquired skills are applied to science and engineering projects within multi-national medical device companies, or alternatively, within small-scale start-up enterprises. A substantial number of graduates also enter the NHS or private healthcare sector to work as a clinical scientist or engineer upon completion of further clinical training.

Supervision and mentorship are available from scientists and engineers who have collaborated nationally and internationally across clinical, industrial and academic sectors. This provides natural opportunities to work in collaboration with a variety of external partners and showcase output at international conferences, private industry events and clinical centres to audiences of potential employers. Moreover, the department holds close working relationships with a number of charitable, research council and international organisations, for example, in new projects involving radiotherapy and infant optical brain imaging in Africa.

Teaching and learning

The MRes programme will be delivered through a combination of formal lectures, seminars, laboratories, workshop sessions and independent or group project work.

The MRes year consists of compulsory units and transferable skills (135 credits) and further optional modules (45 credits). The MRes project is a compulsory element and often (but not necessarily) forms the basis for PhD research. Students will be provided with a list of available projects before enrolment which will be subject to a selection process.

Advanced electives are available to all students in years two and three (MPhil and PhD) and are designed to enhance learning and skills.

Students are registered for the MPhil degree from year two and transfer to PhD status.

The modules of this MRes Programme will be assessed by a series of methods including exams, coursework, group work, lab sessions and project work.

Each taught MRes module typically consists of around 30-40 lectures over a ten-week term (excluding reading week). During each week, including problem classes, you should therefore expect about 10 contact hours. This time is made up of formal learning and teaching events such as lectures and problem classes. You will need to spend your own time in addition to the timetabled hours reviewing the material and completing coursework. You should expect to be spending at least 40 hours per week on your studies as a full-time student. A pro-rata rate should be used as a guide for part-time students. Lectures are timetabled between 9am and 6pm apart from Wednesday afternoon when there are no lectures.

Research areas and structure

Our Methodological Research Portfolio is focussed around three major themes:

Imaging Technologies

• Imaging Devices
• Image Acquisition
• Image Reconstruction

Image Computing

• Image Analysis
• Computational Modelling

Integrated systems

• Actionable Analytic Systems
• Interventional Systems

Our Enabling Technology Portfolio includes:

• AI and Machine Learning
• Data Science and Health Informatics
• Robotics and Sensing
• Human-Computer Interaction

Finally, the eight clinical research programmes in our Translational Portfolio are:

• Cancer Imaging
• Cardiovascular Imaging
• Infection and Inflammation Imaging
• Neuroimaging
• Ophthalmology Imaging
• Paediatric Imaging
• Perinatal Imaging

Research environment

Our vision is to train the translational imaging research leaders of the future, filling a critical gap identified in academia, pharmaceutical and medical devices industries, while delivering internationally competitive research. Our innovative training has a strong focus on new image acquisition technologies, novel data analysis methods and integration with computational modelling.

The MRes degree is a 1 year programme followed by the research degree is a 3 year programme (full-time or 5 year part-time) which offers an MPhil or PhD outcome.

You are required to register for the MPhil degree and then transfer to PhD after successful completion of an upgrade Viva (9 -18 months after initial registration).

Upon successful completion of your approved period of registration you may register as a completing research student (CRS) whilst you write up your thesis.

Students are permitted to include an internship either via an interruption or in conjunction with their research - these opportunities are discussed with the supervisor and programme directors. Students are strongly encouraged to attend and present at conferences relating to their area of research.

Upon successful completion of your approved period of registration you may register as a completing research student (CRS) whilst you write up your thesis

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support and Wellbeing Services team .

Fees and funding

Fees for this course.

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees .

Additional costs

There are no additional costs associated with this programme.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs .

Funding your studies

Please visit the EPSRC Centre for Doctoral Training in Intelligent, Integrated, Imaging in Healthcare (i4Health) for current funding information. https://www.ucl.ac.uk/intelligent-imaging-healthcare/ For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website .

Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Got questions? Get in touch

Medical Physics and Biomedical Engineering

[email protected]

UCL is regulated by the Office for Students .

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Course type

Qualification, university name, phd degrees in diagnostic imaging.

11 degrees at 9 universities in the UK.

Customise your search

Select the start date, qualification, and how you want to study

About Postgraduate Diagnostic Imaging

Diagnostic imaging is a branch of healthcare technology which uses a variety of machines and methods to let doctors look inside the body to diagnose medical issues and prescribe treatments. It’s an important area of medicine as it allows for fast, non-invasive diagnosis and monitoring of health conditions and there is a range of imagine technologies to suit a diversity of use-cases, such as X-rays, CT scans, MRI technology and ultrasound.

PhD courses represent the highest formal academic level of study in this field and contain a significant research component. Applicants are generally expected to hold a minimum 2:1 undergraduate degree in a related medical or biological sciences subject area for entry to a PhD programme. Courses last two to four years full-time or can be studied part-time with a typical duration of four to six years. There are nine such courses available in the UK and provide strong preparation for roles as researchers, educators and advanced practitioners in the field of diagnostic imaging.

What to Expect

A diagnostic imaging PhD programme involves advanced research in medical imaging technologies, such as radiography, CT scans and MRI. Students conduct in-depth research on imaging innovations, diagnostic accuracy and patient outcomes and you can expect to be supervised by leading experts in both diagnostic and therapeutic radiography. Universities which run PhD courses generally have very strong connections with national and international patient groups, research centres and professional bodies.

Trans-disciplinary collaboration with industry partners and major teaching hospitals is also a regular feature of research degrees like this and after graduation, you’ll be ready to take on work at the very highest level of the professional field of diagnostic imaging.

Related subjects:

• PhD Diagnostic Imaging
• PhD Audiology
• PhD Biomedical Engineering
• PhD Cardiovascular Medicine
• PhD Dental Health Education
• PhD Dental Hygiene
• PhD Dental Technology
• PhD Dentistry
• PhD Dermatology
• PhD Emergency First Aid
• PhD Endocrinology
• PhD Endodontics
• PhD Epidemiology
• PhD Forensic Medicine
• PhD Gastroenterology
• PhD Geriatric Medical Studies
• PhD Haematology
• PhD Immunology
• PhD Medical Radiography
• PhD Medical Radiology
• PhD Medical Sciences
• PhD Medical Statistics
• PhD Medical Technology
• PhD Neurology
• PhD Obstetrics
• PhD Oncology
• PhD Ophthalmology
• PhD Optometry
• PhD Orthodontics
• PhD Orthopedics
• PhD Paramedical Services and Supplementary Medicine
• PhD Paramedical Work
• PhD Parenting and Carers
• PhD Pathology
• PhD Pediatrics
• PhD People with Disabilities: Skills and Facilities
• PhD Personal Health and Fitness
• PhD Pharmacology
• PhD Pharmacy
• PhD Prosthetics
• PhD Prosthodontics
• PhD Psychiatry
• PhD Psychoanalysis
• PhD Radiotherapy
• PhD Respiratory & Chest Diseases
• PhD Rheumatology
• PhD Sports Medicine
• PhD Surgery
• PhD Surgery, Medicine and Dentistry
• PhD Women's Health

• Course title (A-Z)
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• Price: low - high

Medical Imaging MRes and MPhil/PhD

Ucl (university college london).

In partnership with our NIHR Biomedical Research Centres and Unit, PhD projects will be strongly multi-disciplinary, bridging the gap Read more...

• 3 years Full time degree: £6,035 per year (UK)
• 5 years Part time degree: £3,015 per year (UK)

Cardiovascular Sciences PhD,MPhil - Biomarkers

University of leicester.

The School of Cardiovascular Sciences offers supervision for the degrees of Doctor of Philosophy (PhD) - full-time and part-time Master Read more...

• 3 years Full time degree: £4,786 per year (UK)
• 6 years Part time degree: £2,393 per year (UK)

Medical Physics and Imaging, PhD

Swansea university.

Our Medical Physics and Imaging PhD programme is available on a full-time or part-time basis, over 3 or 6 years. Do you want a career as a Read more...

• 3 years Full time degree: £4,800 per year (UK)

PhD Medical Imaging

University of exeter.

Our research based around four distinct themes • Diabetes, Cardiovascular risk and Ageing • Environment and Human Health • Health Services Read more...

• 4 years Full time degree: £4,786 per year (UK)
• 8 years Part time degree

Biomedical Imaging and Biosensing PhD

University of liverpool.

The Department of Cellular and Molecular Physiology builds on a long and prestigious history and remains a leading international centre Read more...

• 2 years Full time degree: £4,786 per year (UK)
• 4 years Part time degree: £2,393 per year (UK)

PhD/MPhil Biomedical Imaging Sciences

University of manchester.

Programme description Our PhD Biomedical Imaging Sciences programme enables you to undertake a research project that will improve Read more...

PhD in Cognitive Neuroscience and Neuroimaging

University of york.

As an internationally renowned research department we have a vibrant community of research postgraduates. We offer full-time and part-time Read more...

Neuroimaging Research MPhil/PhD

King's college london, university of london.

Neuroimaging at the IoPPN is world-renowned. The Department of Neuroimaging is embedded in the Centre for Neuroimaging Sciences, a joint Read more...

• 3 years Full time degree: £7,950 per year (UK)
• 6 years Part time degree: £3,975 per year (UK)

PhD / MPhil Imaging

Keele university.

The School of Allied Health Professions (SAHP) Research topics within SAHP are aimed at optimising technical elements of imaging Read more...

• 3 years Full time degree: £4,712 per year (UK)
• 6 years Part time degree: £2,356 per year (UK)

Biomedical Engineering & Imaging Sciences MPhil/PhD MD/(Res)

A diverse and talented group working across the whole Medtech sector, we advance research, innovation and teaching progress through our Read more...

• 3 years Full time degree: £6,540 per year (UK)
• 6 years Part time degree: £3,300 per year (UK)

PhD / MPhil Diagnostic Science

Specific research areas include Selected Ion Flow Tube mass spectrometry (SIFT-MS) for the trace gas analysis of breath and urine; Read more...

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• Full time PhD
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PhD in Imaging Science

The PhD program in imaging science at Washington University in St. Louis is one of only two such programs in the U.S. and offers an interdisciplinary curriculum that focuses on the technology of imaging with applications ranging from cancer diagnosis and neuroimaging to advanced microscopy to augmented reality.

This interdisciplinary program brings together expert faculty from the  McKelvey School of Engineering  and the  School of Medicine  to provide students the freedom and flexibility to learn from leading imaging experts and engage in impactful research. This emerging academic discipline broadly addresses the design and optimization of imaging systems and the extraction of information from images. 

PhD application deadline: Dec. 15  Start your application today

Imaging science research news

Looking deeper with adaptive six-dimensional nanoscopy

With a $2 million NIH grant, Matthew Lew will develop smart microscopes to reveal dynamic interactions between individual biomolecules

Pushing the boundaries of the visible world

Washington University engineers, scientists and physicians team up to advance imaging science and improve human health

Patients with brain cancer may benefit from treatment to boost white blood cells

Blocking immune suppressor cells in mice with glioblastoma improved survival

Imaging Science by the numbers

Get an inside look at our imaging science labs and facilities:.

A multidisciplinary team at WashU has found an innovative way to use photoacoustic imaging to diagnose ovarian tumors.

Get a glimpse of the Medical Campus of Washington University in St. Louis

Take a look at inside the lab of Matthew Lew

Student profiles

Aahana Bajracharya

Sneha Das Gupta

Kaushik Dutta

Wiete Fehner

Yuanxin Qiu

Get involved in the imaging science community at WashU:

• Imaging Science Pathway
• Imaging Science Student Council
• Math Crash Course
• Spectra (student-led imaging society)

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PhD students will join one of the department's active research themes, which are currently MRI, Hyperpolarised MRI, PET, Imaging in Oncology, Breast Imaging and Neuroradiology. Students will be supervised by an academic in the University Department of Radiology, and may also be co-supervised by a specialist (such as a medical physicist) in the NHS.

The University Department of Radiology is fully integrated into Addenbrooke's Hospital and students will work with both University and NHS specialists in their research area. Being able to work well as part of a team is essential, but students must also be self-motivated and have the initiative to pursue their research independently, albeit under the guidance of their supervisor.

In addition to the research training provided within the department, as part of the Postgraduate School of Life Sciences students will have access to several other courses to widen their experience and to enable them to acquire or develop technical and practical skills. Students are also likely to attend external meetings and conferences, and when their research is sufficiently developed they could be submitting research posters. In exceptional circumstances, a short verbal presentation may be possible, most likely supporting the supervisor.

Students are expected to attend the weekly Radiology Forum lectures which cover all imaging topics and actively participate in the department's Research Seminars. There are also many opportunities for students to attend other lectures and seminars in the department, Addenbrooke's Hospital, elsewhere in the clinical school and further afield in the University.

Depending on the nature of their research, students may be participating in the recruitment of patients onto trials and closely monitoring their progress. If they have the required training, students may also undertake basic procedures, such as taking samples. Interaction with patients will require either an honorary contract or a research passport from the NHS Trust.

Learning Outcomes

During the course, PhD students will be expected to:

• read and assimilate relevant background information;
• formulate a clear and well-defined hypothesis;
• design an experimental strategy to address the hypothesis;
• acquire the necessary skills and carry out laboratory work;
• interpret experimental data appropriately and draw sound conclusions; and
• write a suitably detailed and formatted thesis.

Those who wish to progress to a PhD after completing an MPhil will be required to satisfy their potential supervisor, Head of Department and the Faculty Degree Committee that they have the skills and ability to achieve the higher degree and funding in place.

The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details.

See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Key Information

3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, department of radiology, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, lent 2025 (closed).

Some courses can close early. See the Deadlines page for guidance on when to apply.

Easter 2025

Michaelmas 2025, easter 2026, funding deadlines.

These deadlines apply to applications for courses starting in Michaelmas 2025, Lent 2026 and Easter 2026.

Similar Courses

• Medical Science (Radiology) MPhil
• Clinical Neurosciences PhD
• Medical Science (MRC Cognition and Brain Sciences Unit) PhD
• Medical Science (MRC Cognition and Brain Sciences Unit) MPhil
• Medical Science (Clinical Neurosciences) MPhil

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New PhD Program in Biomedical Physics

June 1st, 2021

The Department of Radiology is happy to announce that a new PhD program in Biomedical Physics (BMP), jointly supported by the Departments of Radiology and Radiation Oncology, was officially approved by the University faculty senate on May 20, 2021.

The goal of this initiative is to create a unique interdisciplinary PhD program combining the fields of medical physics, diagnostic imaging, and molecular imaging and diagnostics. Synergistic with multiple departments and institutes from School of Medicine , Engineering, and Humanities & Sciences, the BMP program is a unique opportunity to leverage Stanford’s outstanding faculty, research, and resources to create a world-class training program. It will target physics, bioscience, and engineering students who are seeking to become the next generation of leaders focused on addressing the technical challenges of clinical medicine.

We will begin accepting applications this winter, with the first class of three students matriculating in September 2022. We want to recognize the Biomedical Physics Committee for all their efforts in establishing this program. Members include program director Ted Graves, PhD, Daniel Spielman, PhD, Sharon Pitteri, PhD, and Daniel Ennis, PhD.

Radiology Education section navigation

Rt to bmsc program.

Take Your Medical Imaging Career to the Next Level

This could be your success story.

Nicole Wilburn chose to specialize in magnetic resonance imaging and graduated in May 2024. Click the video to hear how the RT to BMSc Program helped her land her dream job.

Emory University’s Medical Imaging RT to BMSc Bridge Program provides busy imaging technologists who already hold an associate's degree in medical imaging the training and credentials needed for lateral and upward mobility. This program is not an entry-level program .

Flexible Learning

Our program offers classes in flexible, hybrid formats so busy, working technologists who are unable to attend traditional on-campus college classes can earn a BMSc degree in one to two years.

Tailored to Your Career Goals

Choose your own path: advanced coursework in radiology administration or radiography education, as well as concentrations in MRI, CT, and women's health, prepare you to become the leader, educator, or advanced modality expert you always wanted to be and today's employers desperately need.

Medical Imaging Program Best in Class

Questions and Answers

You have questions and we have answers! Click the button for answers to frequently asked questions about financial aid, program structure, career planning, and more.

Ready to Get Started?

Sign up today to attend one of our online information sessions. Meet faculty members and learn more about our program as well as the application process. Applications are due February 1, so start planning now!

Contact Information

Additional information on applying for admission to these programs may be obtained by writing, phoning, or emailing as follows:

Medical Imaging Program EUH Education Annex Building 531 Asbury Circle Room N112 Atlanta, GA 30322

Mailstop: 1600-002-1AA Phone: (404)-712-5005  E-mail: ( [email protected] )

• Artificial Intelligence in Medical Imaging

Opportunities, Applications and Risks

• © 2019
• Erik R. Ranschaert 0 ,
• Sergey Morozov 1 ,
• Paul R. Algra 2

ETZ Hospital, Tilburg, The Netherlands

You can also search for this editor in PubMed   Google Scholar

Radiology Research and Practical Centre, Moscow, Russia

Department of radiology, northwest hospital group, alkmaar, the netherlands.

• Provides a thorough overview of the impact of artificial intelligence (AI) on medical imaging
• Includes contributions from radiologists and IT professionals, ensuring a multidisciplinary approach
• Makes practical recommendations for the use of AI technology for both clinical and nonclinical applications

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Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Demystification of AI-driven medical image interpretation: past, present and future

Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists

• Deep Learning in Medical Imaging
• Machine Learning in Medical Imaging
• Techniques for AI in Medical Imaging
• Big Data in Radiology
• Artificial Intelligence in Radiology
• Medical Imaging Informatics
• Imaging Biomarkers
• Medical Imaging Computing
• Data Mining in Radiology
• Image Biobanks

Table of contents (20 chapters)

Front matter, introduction, introduction: game changers in radiology.

• Sergey Morozov, Erik Ranschaert, Paul Algra

Technology: Getting Started

The role of medical image computing and machine learning in healthcare.

• Frederik Maes, David Robben, Dirk Vandermeulen, Paul Suetens

A Deeper Understanding of Deep Learning

• Bart M. ter Haar Romeny

Deep Learning and Machine Learning in Imaging: Basic Principles

• Bradley J. Erickson

Technology: Developing A.I. Applications

How to develop artificial intelligence applications.

• Angel Alberich-Bayarri, Ana Jiménez Pastor, Rafael López González, Fabio García Castro

A Standardised Approach for Preparing Imaging Data for Machine Learning Tasks in Radiology

• Hugh Harvey, Ben Glocker

The Value of Structured Reporting for AI

• Daniel Pinto dos Santos

Artificial Intelligence in Medicine: Validation and Study Design

• Luke Oakden-Rayner, Lyle John Palmer

Big Data in Medicine

Enterprise imaging.

• Peter Mildenberger

Imaging Biomarkers and Imaging Biobanks

• Angel Alberich-Bayarri, Emanuele Neri, Luis Martí-Bonmatí

Practical Use Cases of A.I. in Radiology

Applications of ai beyond image interpretation.

• José M. Morey, Nora M. Haney, Woojin Kim

Artificial Intelligence and Computer-Assisted Evaluation of Chest Pathology

• Edwin J. R. van Beek, John T. Murchison

Cardiovascular Diseases

• Johan Verjans, Wouter B. Veldhuis, Gustavo Carneiro, Jelmer M. Wolterink, Ivana Išgum, Tim Leiner

Deep Learning in Breast Cancer Screening

• Hugh Harvey, Andreas Heindl, Galvin Khara, Dimitrios Korkinof, Michael O’Neill, Joseph Yearsley et al.

Editors and Affiliations

Erik R. Ranschaert

Sergey Morozov

Paul R. Algra

About the editors

Dr Erik R. Ranschaert, MD, PhD, is currently radiologist at the ETZ Hospital in Tilburg, the Netherlands, and vice-president of the European Society of Medical Imaging Informatics (EuSoMII). Dr. Ranschaert was trained in radiology at  KU Leuven University Hospital in Belgium and graduated in 1994. On July 14th 2016 he was awarded a PhD in Medical Sciences at the University of Antwerp, with a thesis titled: “The Impact of Information Technology on Radiology Services”. He is certified as Imaging Informatics Professional by the ABII in 2017. He was chairman of the ECR Computer Applications Subcommittee in 2008 and member of the ESR eHealth and informatics subcommittee in 2014 - 2016. He is the first author or co-author of more than 20 peer-reviewed articles and he gave more than 40 lectures on invitation, most topics related to his thesis and imaging informatics. 

Sergey Morozov, MD, MPH, PhD is Professor of Radiology and CEO of Radiology Research and Practice Center in Moscow, Russia. Dr. Morozov was trained in clinical imaging at Sechenov Moscow Medical University and clinical effectiveness at Harvard School of Public Health in 2002-2006. He became Chief of Radiology at the Central Clinical Hospital in Moscow in 2007-2012 and then at the European Medical Center in 2013-2015. He is Executive Director of Russian Society of Radiology, President of European Society of Medical Imaging Informatics, past chairman of Imaging Informatics subcommittee of ECR, member of ECR 2019 Program planning committee, RSNA Education Exhibits Awards Committee. He is certified as Imaging Informatics Professional by ABII in 2017. Prof. Dr. Morozov is a renowned expert in clinical imaging, healthcare management and informatics and is the co-author of more than 100 journal articles and 15 book chapters. 

Dr Paul Algra MD PhD, Northwest Hospital Group, Alkmaar, The Netherlands, is trained as radiologist in Leiden University Hospital and as neuroradiologist in Free University Amsterdam. His PhD thesis (1992) was on CT and MRI of vertebral metastases. He was vice-president of Dutch Radiological Society. He is member of scientific committee CAR, board member of EuSoMII and editorial board member of several radiology journals. He (co) authored around 50 articles in peer reviewed journals and served as department chief and program director for more than 15 years.

Bibliographic Information

Book Title : Artificial Intelligence in Medical Imaging

Book Subtitle : Opportunities, Applications and Risks

Editors : Erik R. Ranschaert, Sergey Morozov, Paul R. Algra

DOI : https://doi.org/10.1007/978-3-319-94878-2

Publisher : Springer Cham

eBook Packages : Medicine , Medicine (R0)

Copyright Information : Springer Nature Switzerland AG 2019

Hardcover ISBN : 978-3-319-94877-5 Published: 07 February 2019

eBook ISBN : 978-3-319-94878-2 Published: 29 January 2019

Edition Number : 1

Number of Pages : XV, 373

Number of Illustrations : 23 b/w illustrations, 81 illustrations in colour

Topics : Imaging / Radiology , Information Systems and Communication Service , Health Informatics

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• Whiting School of Engineering
• Johns Hopkins School of Medicine

• Johns Hopkins Biomedical Engineering
• Research Areas

Imaging & Medical Devices

Imaging & Medical Devices involves the measurement of spatial and temporal distributions and signals over scales ranging from molecules and cells to organs and whole populations. Combining mathematics, physics, and biological systems with engineering of new devices and computational algorithms, our academic and research programs in Imaging & Medical Devices center on new technologies and data-intensive analysis, including:

• Imaging Technology : Optical, X-ray, CT, MRI, ultrasound, and molecular imaging
• Image Analysis : Image registration and reconstruction; extraction of knowledge from image data
• Novel Medical Devices : Broad range of diagnostic and therapeutic devices driven by clinical need

Education in Imaging & Medical Devices

Our curriculum spans mathematical fundamentals, physics of imaging technologies, device design and development based on clinical needs, and computational techniques for image processing and analysis. In addition to learning about real clinical systems and data, students learn data analysis, modeling, and computer simulation methods. Hands-on experiences in the classroom, research lab, and clinical settings tie education to practical real-world scenarios.

Research in Imaging & Medical Devices

Our students and faculty are pioneering new imaging technologies to improve disease diagnosis and guide clinical procedures. Key research areas include:

Advanced Biophotonics

Image analysis and registration, imaging algorithms, novel imaging systems, image-guided interventions, core faculty.

Read the Johns Hopkins University privacy statement here .

Graduate School of Health and Medical Sciences

• About the Graduate School
• Graduate programmes
• Medical and Molecular ...

Medical and Molecular Imaging

The graduate program Medical and Molecular Imaging is a program under the Graduate School of Health and Medical Sciences at University of Copenhagen.

Head of programme 

Professor Andreas Kjær.

About the programme

It is an interdisciplinary graduate program that aims to bring together scientists and physicians who share a common interest in developing and using state-of-the-art imaging technology and developing molecular imaging assays for in vivo studies of biological systems.

The goal is to educate PhD students in the basic concepts, the development and application of a range of quantitative and qualitative technologies for medical and molecular imaging. The modalities of interest include positron emission tomography (PET), single photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), computed tomography (CT) and optical imaging.

The program is designed for PhD students with an undergraduate degree in medicine, engineering, chemistry, physics, biochemistry, biology, human biology, or other related sciences.

After the graduation, the PhD student will:

• Possess the expertise and knowledge to assist in advancement of the medical and molecular imaging sciences.
• Have expertise in multiple areas of imaging and be ready to contribute to the growth and development of this specialty.
• Will have gained applicable comprehension of multiple molecular imaging modalities.
• Have the necessary scientific knowledge and tools to become an independent and significant researcher within the field.

Join Medical and Molecular Imaging

To join the programme you must first have been accepted into a research group in which to pursue your graduate studies and secured funding for your studies. Only students with a Master’s degree can be accepted into the graduate programs at University of Copenhagen. All graduate students with a project within the field of medical and molecular imaging are eligible to join the graduate programme when enrolling in the Graduate School at the Faculty of Health and Medical Sciences.

To be accepted into the Medical and Molecular Imaging graduate programme, simply indicate the graduate program on your enrollment application.

We have 470 imaging PhD Projects, Programmes & Scholarships

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imaging PhD Projects, Programmes & Scholarships

Model based deep learning for low-light computational imaging: application to robust multimodal 3d imaging, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (Students Worldwide)

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Imaging Science PhD

Phd studentship in medical imaging instrumentation – development of a prototype thermoacoustic imaging system, funded phd project (uk students only).

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

3D imaging of brain blood flow using ultrasound

Robust computational methods for high-dimensional imaging, function brain imaging in disease: what are the activation maps really telling us, self-funded phd students only.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Remote Non-Contact Sensing for Physiological Signals

Phd in chemistry - development of in situ and operando neutron imaging for real-world reactor and reaction imaging, 1 year - mres project - biomedical imaging using intelligent sensors, developing new computational tools for the next generation of structural imaging with single molecule and super resolution microscopy, super-optical resolution imaging using a phonon probe microscope - (eng 1758), competition funded phd project (students worldwide).

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Fully Funded PhD Scholarship in Multimodal User Authentication and Personalization at the Center for Computational, Cognitive and Connected Imaging (C3I)

Revolutionary ultrathin optical devices for imaging, funded phd project (european/uk students only).

This project has funding attached for UK and EU students, though the amount may depend on your nationality. Non-EU students may still be able to apply for the project provided they can find separate funding. You should check the project and department details for more information.

Using MRI, MEG, and machine learning to better classify severe mental illness

Epsrc dtp studentship: the beat goes on: developing ultra-fast mri techniques to measure pulsatile blood flow and arterial stiffness in the brain.

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