Signal Processing for Magnetic Resonance Imaging and Spectroscopy

This reference contains the latest signal processing techniques in magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for more efficient clinical diagnoses. The book provides ready-to-use algorithms for image segmentation and analysis, reconstruction and visualization, and removal of distortions and artifacts for increased detection of disease and details cost-effective procedures for improved image and spectrum quality. It also discusses evaluation of specific shapes and geometric features in MR images, wavelet transform and projection on convex sets (POCS), methods for image reconstruction, restoration, and enhancement, and effective methods for the reduction of ghost artifacts.