BME 5210 - Medical Imaging Systems

3 lecture hours 2 lab hours 4 credits

Course Description
The objective of this course is to introduce the students to medical imaging system modalities, multi-dimensional systems and signals, and the fundamentals of image processing. The fundamental concepts of physics, technology, and operation of medical imaging modalities such as x-ray radiography, computed tomography, magnetic resonance imaging, ultrasound and nuclear medicine systems will be presented. The concepts of image acquisition, reconstruction, and fundamental image processing techniques will be discussed and practiced. Graduate students enrolled in this course will prepare critical summaries of published research papers related to the application of machine learning or data science in the medical imaging domain in addition to meeting the requirements of the undergraduate course. Milestones of these summaries will include regular reviews and feedback from the faculty member and presentations to the class.
Prereq: ELE 3300 or CSC 4651 or CSC 5651 or CSC 4611 or CSC 5611 or CSC 6621 (quarter system prereq: EE 3032 or instructor consent)
Note: This course is open to qualified undergraduate students.

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Demonstrate an understanding of fundamental multi-dimensional systems and signals concepts
Demonstrate an understanding of general image characteristics across various imaging modalities
Demonstrate an understanding of physics fundamentals of various imaging modalities
Demonstrate an understanding of how a basic x-ray radiography system works, and how images are created and analyzed
Demonstrate an understanding of how a basic CT system works, and how images are created and analyzed
Demonstrate an understanding of how a basic MRI system works, and how images are created and analyzed
Demonstrate an understanding of how a basic ultrasound system works, and how images are created and analyzed
Demonstrate an understanding of how basic nuclear medicine systems (e.g., PET and SPECT) work, and how images are created and analyzed.
Demonstrate an understanding of fundamental image processing methodologies
Proficiently apply fundamental image processing methodologies to medical images
Proficiently apply MATLAB and Anatomage Table (or other modern computer-aided tools) to perform image analysis and visualization
Evaluate recent research results in the field
Distill, summarize in writing, and present recent research results to peers with basic knowledge in medical imaging and artificial intelligence

Prerequisites by Topic

Linear and time-invariant systems
Signal transformations
Impulse response function and convolution
Medical imaging phantom design

Course Topics

History of medical imaging and development of medical imaging systems
Fundamentals of multi-dimensional systems
Fundamentals of multi-dimensional signals (images) and image characteristics
DICOM standard
Medical imaging phantoms
Fundamentals of image processing such as spatial and frequency domain representation, multi-dimensional FFT, image histograms, minimum and maximum intensity images, thresholding, spatial filtering, image segmentation, image registration and other related methodologies.
Fundamentals of x-ray physics
Radiation and radiation units
X-Ray radiography systems
Angiography imaging
Computed Tomography (CT) systems
Magnetic Resonance Imaging (MRI)
Ultrasound
Nuclear Medicine Imaging (PET, SPECT, Gamma Camera systems)
Artificial Intelligence applications in medical imaging

Laboratory Topics

Image reconstruction
Image registration
Image segmentation
Frequency analysis of medical images
Deep learning in medical imaging
Phantom design, 3D printing, scanning, and image analysis and quantification

Coordinator
Dr. Olga Imas

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