Signal Processing for Magnetic Resonance Imaging and Spectroscopy

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Hong Yan
CRC Press, 20.02.2002 - 672 Seiten
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 detec
 

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Inhalt

Introduction to Image Reconstruction
1
WaveletBased Multiresolution Local Tomography
25
The Point Spread Function of Convolution Regridding Reconstruction
59
Mapping Motion and Strain with MRI
91
Rotational Motion Artifact Correction Based on Fuzzy Projection onto Convex Sets
125
Tagged MR Cardiac Imaging
167
Functional MR Image Visualization and Signal Processing Methods
189
Multiscale Segmentation of Volumetric MR Brain Images
209
Stochastic Model Based Image Analysis
365
Functional MR Image Analysis
401
Tagged MR Image Analysis
429
TimeDomain Spectroscopic Quantitation
475
Multidimensional NMR Spectroscopic Signal Processing
509
Advanced Methods in Spectroscopic Imaging
545
Characterization of Brain Tissue from MR Spectra for Tumor Discrimination
569
Wavelet Packets Algorithm for Metabolite Quantification in Magnetic Resonance Spectroscopy and Chemical Shift Imaging
589

A Precise Segmentation of the Cerebral Cortex from 3D MR I Using a Cellular Model and Homotopic Deformations
239
Feature Space Analysis of MRI
255
Geometric Approaches for Segmentation and Signal Detection in Functional MRI Analysis
317
MR Image Segmentation and Analysis Based on Neural Networks
341
CramerRao Bound Analysis of Spectroscopic Signal Processing Methods
613
Index
641
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Hong Yan

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