The field of medical imaging has been revolutionized by new techniques in powerful computations, image processing, and modalities such as Computer-Aided Tomography (CAT) and Magnetic Resonance Imaging (MRI), among others. It is therefore an appropriate topic to be included in this series that studies the marriage of computer capabilities and medical imaging, which exemplifies a significant manifestation of relatively recent, valuable technologies known as the second industrial revolution.
Addresses the design, implementation, evaluation, and application of algebraic reconstruction techniques (ART); examines the merging of signal processing with scattering theory in computed tomography (CT); studies the difficult challenge of texture analysis in medical imaging; compresses medical imaging data of various modes for patients for a framework of multimodality image base management (MIBM), and examines the enabling technologies to do so; and covers the effectiveness of data compression based on digitized wavelets.
This book clearly reveals the effectiveness and great significance of the modalities available, and, with further development, the essential role they will play in the future.
1. Maximum Likelihood Methods in Inverse Scattering and Diffraction Tomography 2. Data Compression Techniques in Image Processing Systems 3. Algebraic Reconstruction Techniques in Medical Imaging
4. Techniques in Texture Analysis and Classification 5. Wavelet Techniques in Image Compression