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Nov 21, 2024
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BME 5210 - Medical Imaging Systems3 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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