Course Description
Presentation of modern imaging modalities: X-rays, computed tomography, magnetic resonance imaging, and ultrasound imaging. Physical principles and instrumentation will be covered, but also the necessary computer algorithms for image formation, including image enhancement, segmentation, quantification, and visualization.
Additional Requirements for Graduate Students:
Graduate students will have to meet the following additional
requirements:
a. One additional major homework (semester project), a
quantitative image analysis homework associated with both a
written and an oral presentation of methods, results, and a
discussion.
b. Additional questions in the exams. These questions are
highly quantitative.
Athena Title
Biomedical Imaging
Prerequisite
MATH 2700 or permission of department
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
By the end of this course, students should have – gained an understanding of the physical and engineering principles applied to obtain information that leads to image formation – gained an understanding of the computer algorithms that are used in image formation and image reconstruction – gained an understanding of computer algorithms that are used to further enhance or analyze images – understood the medical and societal impact caused by noninvasive diagnostic methods based on imaging – applied their knowledge on medical or nonmedical sample images in small lab-based projects – understood current trends of medical imaging by being exposed to topical literature
Topical Outline
1. Introduction to Biomedical Imaging 2. History and development of Biomedical Imaging 3. X rays: Physics and instrumentation, X ray tubes, detectors, X ray attenuation in tissue, Film, image intensifiers, detectors 4. The Fourier transform as the foundation for CT, MRI, and ultrasound imaging 5. Computed Tomography: Principles, Reconstruction algorithms, Instruments and application 6. MRI: Physical foundations, Image formation, Instrumentation 7. Ultrasound: Physical foundations, Image formation, Instrumentation 8. Fundamentals of computerized image processing 9. Image representations: from matrices to false coloring to 3D rendering 10. Filtering concepts (1) Convolution filters (Smoothing, sharpening, background removal, edge detection) 11. Filtering concepts (2) Fourier-domain filters 12. Filtering concepts (3) Morphological operators (Rank filter; erosion, dilation, opening, closing; skeletonization) 13. Statistical representation of images 14. Basic segmentation methods (intensity- and region-based segmentation) 15. Basic image quantification (features and shapes; characterization by intensity and shape)
Syllabus