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Engineering in Medical Imaging 1: Non-Ionizing Techniques 2023FS is a Course

Engineering in Medical Imaging 1: Non-Ionizing Techniques 2023FS

Mar 15, 2023 - Dec 26, 2023
4.5 CEUs

$989.09 Enroll

Full course description

Course Overview:
This is the first course in a 2-semester investigation into the engineering of medical imaging modalities. These courses will provide the student with a functional understanding of some of the most common applications of engineering in medical imaging. This will include discussions of the underlying physics, device operation, image formation, and clinical applications of medical images including in-depth discussions on magnetic resonance imaging (MRI), ultrasound (US), and optical imaging. We will also examine the important topics of image resolution, signal-to-noise, radiation dose, image analysis, clinical decision-making in relation to diagnostic imaging, and emerging techniques in machine learning. All of these modalities involve some interaction of matter with waves (electromagnetic waves, sound waves, etc.). To appropriately understand these modalities requires a solid grasp of fundamental concepts taught within undergraduate level physics, mathematics, and engineering courses. This is an upper-level undergraduate/graduate course specifically targeted toward students with interest in careers in biomedical engineering, clinical technology, and medicine. Thus, a large portion of lecture will be dedicated to both theoretical development and applications in research and medicine. Of course, the ultimate goal of this course (and hopefully every course you take in higher education) is to develop the student to be a critical thinker!

Course Objectives:
By the end of the course, students will be able to…
• Calculate temporal and spatial frequencies, amplitudes, and phases of waves (EM and sound) and atomic structure
• Analyze image properties (resolution, signal-to-noise, contrast-to-noise, etc.) relevant in medical imaging.
• Explain the utility, applications, and validation of image analysis in medicine.
• Assess random processes, noise patterns, and their influence on images and statistical tests
• Identify science-based approaches to clinical validation of image data in diagnosing and treating disease.
• Explain the working principles of medical image production by:
o magnetic resonance imaging (MRI),
o ultrasound (US),
o optical imaging
• Plan for a future career in medical imaging by learning about professions in the field and the professional skills required. 

The following modules will be covered:
Math Review
Interactions of Light with Matter
Analog and Digital Signals and Images
Data, Noise, and Statistics
Images in Medicine
Magnetic Resonance Imaging (MRI)
Ultrasound (US)
Optical Imaging
Engineering and Medicine

Robert Thomen, PhD

8 Weeks

Chemical and Biomedical Engineering

Non-Credit | 4.5 Continuing Education Units

Adult Learners

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