This course is aimed at senior undergraduate and graduate students from a variety of disciplines including Engineering, Computer Science, Applied Mathematics, Physics, Cognitive Science and Neuroscience as well as medical students and residents. This project-oriented course will require some knowledge of advanced calculus and Fourier series,  and some programming in MATLAB. There will be visits to the Rhode Island Hospital and local companies outside class hours. Please email inquiries to kimia@lems.brown.edu. The course is structured around the following outline.
 

Formation of Medical Images: Physics and Reconstruction (4 weeks)        CT,               MR,            Ultrasound,  X-ray, Fluoroscopy, fMRI, Nuclear Imaging (PET, SPECT), DSA.	Image Guided Therapy/Surgery (2 weeks) Radiation therapy, Gamma knife, X-knife, Telesurgery, Virtual surgery, Image guided surgery, Endoscopy, Laparoscopic stereotactic robot etc.
Filtering and Segmentation (1 week) Nonlinear smoothing: Block/Gaussian smoothing, anisotropic diffusion, curvature smoothing. Segmentation: Region growing, deformable models.	Visualization and Simulation (1 week) Marching cubes, stereotactic and multiplanar displays, image overlay, kinematics simulation using FEM.
Registration and Multimodal Fusion (2 weeks) Registration based on surface, volume, landmarks, skeletons and ridges.	Morphometric measurement, functional MRI and computational atlases (2 weeks) Issues of average shape and shape variation, applications to brain mapping, validation, reliability, reproducibility.

Projects: Students will identify a particular clinical application, review medical imaging approaches to tackle it, implement one of these approaches, and apply to realistic data.