University of Wisconsin Madison
Medical Imaging Systems (B M E 530) Syllabus
Course Learning Outcomes
    Course Learning Outcome
  • 1
    Understand representation of continuous and discrete images in the frequency domain
  • 2
    Relate signal and image contrast generation in diagnostic imaging modalities to biological phenomena
  • 3
    Understand and execute image reconstruction algorithms for major diagnostic imaging modalities
  • 4
    Describe imaging performance of medical imaging equipment in analytical expressions consistent with systems engineering
  • 5
    Relate tradeoffs in imaging performance in diagnostic imaging to imaging system design, system cost, and imaging protocols
Details
Medical Imaging Systems
B M E 530 ( 3 Credits )
Description
2D Fourier image representation, sampling, and image filtering with applications in medical imaging. Principles of operation, impulse responses, signal-to-noise, resolution and design tradeoffs in projection radiography, tomography, nuclear medicine, ultrasound, and magnetic resonance imaging.
Prerequisite(s)
ECE 330 or Med Phys 473 or equiv or cons inst. Knowledge of linear signals & systems, convolution, basic probability, ID Fourier Transforms
Department: BIOMEDICAL ENGINEERING
College: College of Engineering
Instructor
Instructor Name
Instructor Campus Address
instructorEmail@emailaddress.edu
Contact Hours
2.5
Course Coordinator
WALTER BLOCK
Text book, title, author, and year

Medical Imaging: Signals and Systems, Prince, J.L and Links, J.M., Pearson Prentice Hall Bioengineering, Upper Saddle River, NJ

Supplemental Materials
 
Required / Elective / Selected Elective
Selected Elective
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
Brief List of Topics to be Covered
 
Additional Information
 
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