BME 2963 - Fundamentals of Medical Imaging and Imaging AI

1 lecture hours 0 lab hours 1 credits

Course Description
This course serves as an introduction to medical imaging systems commonly used in clinical settings.  The course covers the hardware, design and operation of common medical imaging systems such as X-Ray and Computed Tomography, as well as fundamentals of image processing. Novel image processing methods involving artificial intelligence (AI) are emphasized. Throughout the course, advantages and practical limitations of AI-based medical imaging are discussed. The importance of accurate and consistent image labeling for AI applications is emphasized. Clinical case-study examples are used to illustrate the abovementioned concepts and their effects on clinical reliability of AI-based medical imaging tools. (prereq: BME 2961)

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

Describe the basic physics of common medical imaging systems
Describe the hardware and operation of common medical imaging systems
Describe the principles of image acquisition of common medical imaging systems
Describe clinical applications of common medical imaging systems
Describe the fundamental image processing methodologies
Describe the industry-standard image processing terminology used in medical imaging
Understand the fundamentals of AI-based medical imaging
Recognize and identify anatomical and physiological structures in medical images
Recognize common image artifacts in medical images
Distinguish between image artifacts and physiological findings
Recognize and identify common physiological abnormalities in medical images

Prerequisites by Topic

Basic understanding of human anatomy and physiology

Course Topics

X-Ray radiography
Computed Tomography 
Magnetic Resonance Imaging 
Nuclear Medicine Imaging
Ultrasound 
Image analysis in spatial domain 
Image analysis in frequency domain 
Image registration  
Image segmentation 
DICOM image format  
AI-based medical imaging algorithms
Data curation, labeling, and establishing ground truths
Image visualization 
Anatomical and physiological presentations in X-Ray, CT, MRI, PET and Ultrasound images for common physiological systems.
Distinguishing artifacts from anatomy in images from different modalities
Concept and examples of anatomical variability

Coordinator
Dr. Olga Imas

Announcement

The Raider Return

Milwaukee School of Engineering

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BME 2963 - Fundamentals of Medical Imaging and Imaging AI