Medical Imaging Systems Engineering

BMG 515 delves into the sophisticated engineering principles underpinning modern medical imaging. Starting with the physics of signal generation and interaction within biological tissues, the course progresses through the acquisition chain, signal processing, and advanced image reconstruction methods. Students will explore a variety of imaging modalities, understanding the unique challenges and solutions associated with each. A significant emphasis is placed on quantitative image quality metrics, including spatial resolution, contrast-to-noise ratio, and dose efficiency, evaluating their impact on diagnostic efficacy. Practical considerations for system design, calibration, and optimization are also covered, preparing students to critically analyze and contribute to the development of next-generation medical imaging technologies. This course is ideal for graduate students seeking a deep technical understanding of medical imaging from an engineering standpoint.

Course outline

Lectures, virtual labs, and graded assignments — completed in your browser.

01Lesson 1: Introduction to Medical Imaging Systems and Modalitieslecture

02Lesson 2: Physics of Signal Generation and Interaction in Tissuelecture

03Lesson 3: Digital Image Acquisition and Sampling Theorylecture

04Hands-on Lab: Basic Image Acquisition and Data Visualizationlab

05Lesson 5: Fourier Transforms and Spatial Frequency Domain in Imaginglecture

06Lesson 6: Image Reconstruction Fundamentals: Analytical and Iterative Methodslecture

07Lesson 7: Advanced Reconstruction Algorithms and Regularization Techniqueslecture

08Hands-on Lab: Iterative Image Reconstructionlab

09Lesson 9: Quantitative Image Quality Metrics and Assessmentlecture

10Lesson 10: Noise Characteristics and Signal-to-Noise Ratio in Medical Imageslecture

11Hands-on Lab: Image Quality Metric Evaluationlab

12Lesson 12: Image Artifacts, Correction Techniques, and System Calibrationlecture

13Lesson 13: Emerging Trends and Future Directions in Medical Imaging Engineeringlecture

14Capstone Service Project: Medical Imaging System Analysis and Design Proposalassignment

Syllabus

["Week 1: Lesson 1: Introduction to Medical Imaging Systems and Modalities","Week 2: Lesson 2: Physics of Signal Generation and Interaction in Tissue","Week 3: Lesson 3: Digital Image Acquisition and Sampling Theory","Week 4: Hands-on Lab: Basic Image Acquisition and Data Visualization","Week 5: Lesson 5: Fourier Transforms and Spatial Frequency Domain in Imaging","Week 6: Lesson 6: Image Reconstruction Fundamentals: Analytical and Iterative Methods","Week 7: Lesson 7: Advanced Reconstruction Algorithms and Regularization Techniques","Week 8: Hands-on Lab: Iterative Image Reconstruction","Week 9: Lesson 9: Quantitative Image Quality Metrics and Assessment","Week 10: Lesson 10: Noise Characteristics and Signal-to-Noise Ratio in Medical Images","Week 11: Hands-on Lab: Image Quality Metric Evaluation","Week 12: Lesson 12: Image Artifacts, Correction Techniques, and System Calibration","Week 13: Lesson 13: Emerging Trends and Future Directions in Medical Imaging Engineering","Week 14: Capstone Service Project: Medical Imaging System Analysis and Design Proposal"]