University of Wisconsin Madison
Imagine in Medicine: Applications (B M E 574) Syllabus
Course Learning Outcomes
    Course Learning Outcome
  • 1
    apply the tools for the generation, processing, and interpretation of medical images to a range of research problems and applications.
Details
Imagine in Medicine: Applications
B M E 574 ( 3 Credits )
Description
Continuation of 573, with application of concepts to practical medical imaging problems and emerging quantitative imaging techniques.
Prerequisite(s)
B M E/MED PHYS 573
Department: BIOMEDICAL ENGINEERING
College: College of Engineering
Instructor
Instructor Name
Instructor Campus Address
instructorEmail@emailaddress.edu
Contact Hours
2.5
Course Coordinator
SEAN FAIN
Text book, title, author, and year
None
Supplemental Materials

Digital Image Processing. Castleman, Kenneth R., Englewood Cliffs: Prentice-Hall, 1996.

Data Reduction and Error Analysis for the Physical Sciences. Bevington, Philip R. and Keith D. Robinson., Boston: McGraw-Hill, 2003 (3rd Edition)

“Numerical Computing with Matlab,” by Cleve Moler (http://www.mathworks.com/moler/chapters.html)
Required / Elective / Selected Elective

Selected Elective for BME students
Required for Medical Physics students

ABET Program Outcomes Associated with this Course
Program Specific Student Outcomes
(1) Understanding of biology and physiology as related to biomedical engineering needs.
(2) Ability to apply knowledge of advanced mathematics (including differential equations and statistics), sciences, and engineering to solve problems at the interface of engineering and biology and to model biological systems
(3) Ability to design and conduct experiments, including making measurements and interpreting experimental data from living systems and addressing the problems associated with the interaction between living systems and non-living materials and systems
Brief List of Topics to be Covered
This course presents the application of medical imaging theory to problems in medical imaging science including: evaluation of medical image system performance, point spread function and noise characteristics, use of images for diagnosis, measurement of anatomical structures and organ function.
Additional Information
 
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