Office: NEB 322
Lab: NEB B21; NEB B26
Personal Assistant: Elisa Ahmanson -- 410-516-0740; email@example.com
Office Hours: By appointment
This course introduces the field of computer integrated surgery through lectures, lab visits and short research projects. Short Course. Prerequisites: None.
(1 Credit; Summer & Intersession Course, Time TBA)
This course focuses on computer-based techniques, systems, and applications exploiting quantitative information from medical images and sensors to assist clinicians in all phases of treatment, from diagnosis to preoperative planning, execution, and follow-up. It emphasizes the relationship between problem definition, computer-based technology, and clinical application and includes a number of guest lectures given by surgeons and other experts on requirements and opportunities in particular clinical areas. An optional term project may be undertaken under supervision of the instructor and clinician end users. Although this course is primarily intended for graduate students and advanced undergraduate students interested in doing research in this area, it may also be of interest to medical or qualified premedical students wanting to obtain a broader background in this emerging field. Prerequisites: linear algebra or permission of instructor; reasonable skills in programming; Recommended: 600.226 or equivalent 600.457, 600.461, image processing.
(4 Credits, Fall Term Course, TuTh 1:30-2:45)
This weekly lecture/seminar course addresses similar material to 601.455, but covers selected topics in greater depth. In addition to material covered in lectures/seminars by the instructor and other faculty, students are expected to read and provide critical analysis/presentations of selected papers in recitation sessions. Students taking this course are required to undertake and report on a significant term project under the supervision of the instructor and clinical end users. Typically, this project is an extension of the term project from 601.456, although it does not have to be. Grades are based both on the project and on classroom recitations. Students wishing to attend the weekly lectures as a 1-credit seminar should sign up for 601.356. Students may also take this course as 600.646. The only difference between 601.456 and 601.656 is the level of project undertaken. Typically, 601.656 projects require a greater degree of mathematical, image processing, or modeling background. Prospective students should consult with the instructor as to which course number is appropriate.. Prerequisites: (600.445/645 or 601.455/655 or permission of instructor)
(3 Credits, Spring Term Course, TuTh 1:30-2:45)
This weekly seminar will focus on research issues in medical image analysis, including image segmentation, registration, statistical modeling, and applications. It will also include selected topics relating to medical image acquisition, especially where they relate to analysis. The purpose of the course is to provide the participants with a thorough background in current research in these areas, as well as to promote greater awareness and interaction between multiple research groups within the University.
The format of the course is informal. It will meet weekly for approximately 1 hour. Students will read selected papers. All students will be assumed to have read these papers by the time the paper is scheduled for discussion. But individual students will be assigned on a rotating basis to lead the discussion on particular papers or sections of papers.
Faculty: Taylor, Prince
Time: To be arranged
Students and faculty interested in participating should contact Megan Snyder-Camp (firstname.lastname@example.org, 410-516-3837) or Laura Libertini (email@example.com, 410-516-4076). Megan and Laura will coordinate a time for the initial organizational meeting in the near future.
(*) Most likely will be 520.746
(1 Credit; Time TBA)