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This reference/text contains the latest signal processing techniques in magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for more efficient clinical diagnoses-providing ready-to-use algorithms for image segmentation and analysis, reconstruction and visualization, and removal of distortions and artifacts for increased detection of disease.Detailing cost-effective procedures for improved image and spectrum quality, Signal Processing for Magnetic Resonance Imaging and Spectroscopy discussesthe evaluation of specific shapes and geometric features in MR imagesmodern strategies for MR data processingthe characterization and analysis of cerebral, muscular, and cardiac tissueswavelet transform and projection on convex sets (POCS) methods for image renewal and enhancementreal-world solutions to reduce the occurrence of ghost artifactsIntegrating state-of-the-art research with practical applications in radiology, physics, chemistry, and electrical engineering, Signal Processing for Magnetic Resonance Imaging and Spectroscopy is an up-to-date source suitable for electrical, electronics, signal processing, mechanical, hardware and software, and digital design engineers, and radiologists, and an illuminating text for upper-level undergraduate and graduate students in these disciplines.