Signal Processing for Magnetic Resonance Imaging and Spectroscopy

Contains the signal processing techniques in magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for efficient clinical diagnoses. This 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.

---

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 reconstruction, restoration, and enhancement; and effective methods for the reduction of ghost artifacts.