Chen C. Computer Vision in Medical Imaging 2014

Textbook in PDF format

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists.The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
An Introduction to Computer Vision in Medical Imaging
Theory and Methodologies
2-D, 3-D Reconstructions/Imaging Algorithms, Systems & Sensor Fusion
Specific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc