SSI
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Learning Objectives | Learning Objectives | ||
| − | Upon successful completion of this course, the student is expected to demonstrate knowledge of basic physical | + | Upon successful completion of this course, the student is expected to demonstrate knowledge of basic physical, computational and engineering concepts underlying major medical imaging modalities including |
x-ray CT, MR, PET, SPECT, Ultrasound, Optical, & Molecular Imaging Methods. The student will be expected to perform | x-ray CT, MR, PET, SPECT, Ultrasound, Optical, & Molecular Imaging Methods. The student will be expected to perform | ||
basic calculations pertaining to these system, and computational simulation of selected modalities. He/she is expected to | basic calculations pertaining to these system, and computational simulation of selected modalities. He/she is expected to | ||
be able to compare and contrast imaging modalities, and recognize the common underlying principles (probes, probe-media interactions, detectors, computational reconstruction algorithms) across | be able to compare and contrast imaging modalities, and recognize the common underlying principles (probes, probe-media interactions, detectors, computational reconstruction algorithms) across | ||
seemingly diverse modalities. | seemingly diverse modalities. | ||
Revision as of 19:27, 16 October 2009
Subsurface Sensing & Imaging Systems Course
Learning Objectives
Upon successful completion of this course, the student is expected to demonstrate knowledge of basic physical, computational and engineering concepts underlying major medical imaging modalities including x-ray CT, MR, PET, SPECT, Ultrasound, Optical, & Molecular Imaging Methods. The student will be expected to perform basic calculations pertaining to these system, and computational simulation of selected modalities. He/she is expected to be able to compare and contrast imaging modalities, and recognize the common underlying principles (probes, probe-media interactions, detectors, computational reconstruction algorithms) across seemingly diverse modalities.
