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 discusses

• the evaluation of specific shapes and geometric features in MR images
• modern strategies for MR data processing
• the characterization and analysis of cerebral, muscular, and cardiac tissues
• wavelet transform and projection on convex sets (POCS) methods for image renewal and enhancement
• real-world solutions to reduce the occurrence of ghost artifacts

Integrating 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.