SSI
Subsurface Sensing & Imaging Systems Course
Contents |
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. Finally, the student is expected to demonstrate competency in quantifying appropriate imaging system performance measures.
Course Topics
2. Intro to MATLAB programming
3. X-ray Imaging
4. X-ray Imaging II
5. X-ray Imaging III
6. Intro to CT
7. CT Scanning II
8. CT Futures, Propagation of Waves
9. Propagation of Waves, Interactions
10. More on Waves, Interactions
11. Ultrasound Scanner as a Linear System
12. Pulse-echo imaging
13. Doppler II
14. Use of phase in coherent imaging
15. Phase & OCT
16. MRI I
17. MRI II
18. MRI III
19. Molecular Imaging I
20. Molecular Imaging II
21. Molecular Imaging III
22. Molecular Imaging IV
23. Nuclear Medicine & PET
24. Nuclear Medicine & PET
25. Image Fusion/CAD
26. Grand Summary I
27. Grand Summary II
Course Instructors
Kai E Thomenius
Chief Technologist, Ultrasound & Biomedical
Adjunct Professor
Office at GE: KW-C300A
GE Global Research
Imaging Technologies
Niskayuna, New York 12309
Phone: (518) 387-7233
Fax: (518) 387-6170
Email: thomeniu@ge.com, thomenius@ecse.rpi.edu
Secretary: Laraine Michaelides, JEC 7012, (518) 276 –8525, michal@rpi.edu
Badri Roysam
Professor of Electrical, Computer, & Systems Engineering
Professor of Biomedical Engineering
Office: JEC 7010, Rensselaer Polytechnic Institute, 110, 8th Street, Troy, New York 12180
Phone: (518) 276-8067
Fax: (518) 276-8715
Email: roysam@ecse.rpi.edu
Website: http://www.ecse.rpi.edu/~roysam
Course website: http://www.ecse.rpi.edu/censsis/SSI-Course/
Assistant: Laraine Michaelides, JEC 7012, (518) 276 –8525, michal@.rpi.edu
Office hours: Please contact Ms. Michaelides for an appointment
Course Textbook & Reference Materials
There is no required textbook for this course. Almost everything you need will either be handed out, or pointed out (usually papers that can be downloaded from the web, helpful websites, Wiki pages, as appropriate). The following free e-book is required as a reference:
a. MATLAB image processing toolkit manual: PDF copy of manual on mathworks.com
Grading
The course grade is based on weekly assignments, most of which require computer programming, searching for information, and calculations. The assignments account for 30% of the course grade. All assignments count for the grade and each of them is graded on 10 points. One midterm take-home examination carries 30% of the grade.
All assignments and evaluations will be designed to measure how well specific learning objectives (listed above) have been attained. The standard completion time for all assignments is one week. The instructor may modify the deadline if necessary.
Please note: All assignments must be handed in hardcopy form. Multiple sheets must be stapled. Your name must be clearly written on the sheets. Electronic submission is not acceptable.
The remaining 40% of the grade depends on a course term project (teams up to 2 max). Students are expected to hand in a term project proposal (carries 10%). The instructor will provide the student with feedback and guidance and help define a suitable term project. The purpose of the term project is to foster study of one or more course related topics at a much greater depth than covered in class. All term projects should clearly identify the course topic(s) and learning objective(s) to which they relate. Term projects may relate to a student’s graduate thesis work, but must be a distinct and clearly identified addition. It must be very clear to the instructor what the activity being graded under this course is, and the specific learning objectives that are being addressed.
The results of your term project should be presented to the instructor (and his colleagues, and your peers) at a Poster Session that will be scheduled during the final examination week.
Any grade appeals must be submitted to the instructor in writing.
If you need an assessment of your progress during the semester, please contact the instructor. If you are having difficulty completing the assignments on time or if you are consistently lagging behind, please consider dropping the course. The instructor is available to help you make such decisions.
The numerical weighting associated with these grades in computing the GPA will be as follows. A=4.0, A-=3.67, B+=3.33 B=3.0, B-= 2.67, C+= 2.33, C=2.0 C-= 1.67, D+=1.33, D=1.0, F=0.0
There is no D- grade and the minimum grade to pass the course is a D.
Attendance Policy
Students are expected to attend all classes and participate actively in the classroom. You are required to arrive on time and stay for the full class duration. In case you miss a class, please study the lecture materials that will be placed on the class website: http://www.ecse.rpi.edu/censsis/SSI-Course/ , and make sure to complete the assignments on your own. If you suffer an extended absence due to some unforeseen reason, please contact the Student Experience office – 4th floor of Academy Hall, x8022, se@rpi.edu .
Academic Integrity
Students are expected to complete all assignments on their own. It is acceptable to speak with other students, and discuss class work. However, any materials submitted for grading must have been completed by you. You must be prepared to describe how you did your assignment, and answer questions posed by the instructor.
Student-teacher relationships are built on trust. For example, students must trust that teachers have made appropriate decisions about the structure and content of the courses they teach, and teachers must trust that the assignments that students turn in are their own. Acts, which violate this trust, undermine the educational process. The Rensselaer Handbook of Student Rights and Responsibilities defines various forms of Academic Dishonesty and you should make yourself familiar with these. In this class, all assignments that are turned in for a grade must represent the student’s own work. In cases where help was received, or teamwork was allowed, a notation on the assignment should indicate your collaboration. Submission of any assignment that is in violation of this policy will result in a zero grade for that assignment. If you have any question concerning this policy before submitting an assignment, please ask for clarification. If you are found to violate Rensselaer’s integrity policy twice, your grade for the entire course will be an F.
Students with Special Needs
If you have a special need arising from a disability, the instructor is happy to make appropriate accommodations on a confidential basis. Please meet the instructor outside of class and discuss your needs. You must contact the office of Disability Services for Students, or the Dean of Students Office, and obtain a memo that describes the types of accommodations that are needed. A copy of this memo should be handed to the instructor to file. If you need to request special assistance but do not have an authorizing memo from Disability Services for Students, you should contact Prof. Mark Smith, Dean of Students, in the Dean of Students Office.
