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Fundamentals of medical imaging physics and systems: X-ray radiography, ultrasound, radionuclide imaging, and magnetic resonance imaging (MRI). Biological effects of each modality. Tomographical reconstruction principles, including X-ray computed tomography (CT), position emission tomography (PET), and single-photon emission computed tomography (SPECT).
Learning Objectives
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Understand image quality
- Analyze radiographic imaging techniques.
- Analyze nuclear medicine imaging techniques.
- Analyze ultrasound imaging techniques.
- Analyze magnetic resonance imaging techniques.
Topics
- Review of signals and systems
- Image quality
- Radiographic imaging: physics and instrumentation
- Nuclear medicine imaging: physics and instrumentation
- Ultrasound imaging: physics and instrumentation
- Magnetic resonance imaging: physics and instrumentation
Textbooks
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Jerry L. Prince and Jonathan Links, Medical Imaging Signals and Systems, Pearson, 2nd Edition, 2015
- Nadine Barrie Smith, Andrew Webb, Introduction to Medical Imaging: Physics, Engineering and Clinical Applications, Cambridge University Press, 2010.
Key Student Outcomes
| (1) |
An ability
to identify, formulate, and solve complex engineering problems by
applying principles of engineering, science, and mathematics |
✓ |
| (2) |
An
ability to apply the engineering design to produce solutions that meet
specified needs with consideration of public health, safety, and
welfare, as well as global, cultural, social, environmental, and
economic factors |
|
| (3) |
An ability to communicate effectively with a range of audiences |
|
| (4) |
An
ability to recognize ethical and professional responsibilities in
engineering situations and make informed judgments, which must consider
the impact of engineering solutions in global, economic, environmental,
and societal contexts |
✓
|
| (5) |
An
ability to function effectively on a team whose members together
provide leadership, creates a collaborative and inclusive environment,
establish goals, plan tasks, and meet objectives |
|
| (6) |
An
ability to develop and conduct appropriate experimentation, analyze and
interpret data, and use engineering judgment to draw conclusions |
|
| (7) |
An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
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