CAP 6516
Medical Image Analysis
Image formation, reconstruction mathematics (Fourier slice theorem, Abel, Hankel and Radon transforms), PDE-based denoising and segmentation, multidimensional clustering algorithms, iso-surface extraction, basic differential geometry of curves and surfaces, multidimensional splines, active 2D/3D models, image matching/registration with application to multimodal co-registration.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: expertise in image proc./comp. vision, proficiency in C language or MATLAB.
Sources
- Course catalogue ↗2025-2026