COURSE SPOTLIGHT: ENEE 739R: Medical Imaging & Image Analysis

1. COURSE SPOTLIGHT:ENEE 739R: Medical Imaging & Image Analysis Prerequisite: ENEE 631 (Digital Image Processing) or equivalent Description:This course is designed to serve as an introduction to common medical acquisition modalities, the image reconstruction algorithms behind them, and postacquisition image processing techniques. The course focuses on hands-on learning and is project intensive. Taught by Raj Shekhar, Ph.D. See Course page. Topics: Computed tomography: Basic physics, radon transform, central slice theorem, and tomographic reconstruction from 2D and 3D projections; Magnetic resonance imaging: Nuclear magnetic resonance principles, signal segmentation and detection, and imaging concepts (slice selection, frequency encoding, and phase encoding); Ultrasound: Ultrasound generation and detection, grayscale imaging, doppler imaging, linear and 2D arrays, and beamforming; Nuclear medicine: Basic principles, filtered backprojection reconstruction, attenuation correction, and iterative reconstruction; Image enhancement: Pixel and local operations, and adaptive image filtering; Image segmentation: Edge- and region-based, clustering-based, and deformable models; Image registration: Linear and nonlinear transformation models, landmark-based techniques, feature-based techniques, and image similarity–based techniques.