Course No：3023131
Title：Medical Imaging and Image Informatics
Class Hours/Week: 2-0 Credit: 2 Category：Specialty
Prerequisites：
Undergraduate Probability, Linear Algebra, Introductory Course in Image Processing and/or Computer Vision, Computer Programming (C/C++ and/or Matlab), or Permission of Instructor
Course objectives and basic requirements:
The course will explore the fundamental principles of medical imaging modalities, the quantitative approaches to medical image understanding, and current and potential clinical applications. This course is intended to meet the needs of both computing/engineering/physical scientists interested in life science applications, and life scientists interested in gaining experience in biomedical imaging principles and quantitative image analysis strategies.
Prerequisites by Topic
1. Students have statistics and linear algebra knowledge at the undergraduate level.
2. Students can create functional computer programs (object-oriented techniques are not necessary).
3. Students have general concept of image processing or computer vision.
Laboratory projects
1. Students will implement and evaluate EM-based PET image reconstruction algorithm in Matlab or C/C++.
2. Students will research, implement and evaluate a particular medical image analysis algorithm in Matlab or C/C++.
Course introduction:
Tomographic medical images, along with computer-aided image processing and understanding methods, have been widely utilized in clinical practice for evaluation of health and detection of diseases. This course will focus on the principles of medical imaging technology, i.e. physiological origins, data acquisition and image formation, as well as algorithmic strategies for quantitative understanding of various medical images. It first provides students a general physics-signal-system understanding of the medical imaging modalities. Then, it will emphasize the clinical needs, the technical problems, and the rationales and strategies of quantitative image analysis. Examples of current and potential clinical applications will be used as illustrations throughout the course. This course also strives to demonstrate the general process of conducting applied research, i.e. problem finding => scientific analysis => proposing solution => implementation and experiment => evaluation.
Test and Grading Criteria：
Every student is required to submit __2___ written reports (not including exams, tests, quizzes, or commented programs) of typically __4-6___ pages and to make ___2__ oral presentations of typically ___15__ minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. (40%)
Exams (60%)
Suggested textbooks or references:
1. Medical Imaging Signals and Systems, Jerry L. Prince and Jonathan Links, Prentice Hall, ISBN-10: 0130653535, 2005.
2. Research papers.
3. Instructor’s notes.