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Volumn 63, Issue 1, 2010, Pages 212-217
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Quantitative T2 analysis: The effects of noise, regularization, and multivoxel approaches
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Author keywords
Rat; T2 distribution; T2 relaxation; Voxel based analysis; White matter
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Indexed keywords
BIOMEDICAL SIGNAL PROCESSING;
GEOMETRY;
IMAGE SEGMENTATION;
RATING;
RATS;
MYELIN WATER FRACTIONS;
REGION OF INTEREST;
SIGNAL-TO-NOISE RATIO DECREASE;
T2 DISTRIBUTION;
T2 RELAXATION;
VOXEL-BASED ANALYSIS;
VOXEL-BASED APPROACHES;
WHITE MATTER;
SIGNAL TO NOISE RATIO;
MYELIN;
WATER;
ANIMAL EXPERIMENT;
ARTICLE;
CONTROLLED STUDY;
GEOMETRY;
IN VIVO STUDY;
NOISE MEASUREMENT;
NONHUMAN;
QUANTITATIVE ANALYSIS;
RAT;
SIGNAL NOISE RATIO;
SIGNAL TRANSDUCTION;
SIMULATION;
ALGORITHM;
ARTIFACT;
BRAIN;
COMPUTER ASSISTED DIAGNOSIS;
HISTOLOGY;
IMAGE ENHANCEMENT;
METHODOLOGY;
NUCLEAR MAGNETIC RESONANCE IMAGING;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
THREE DIMENSIONAL IMAGING;
ALGORITHMS;
ARTIFACTS;
BRAIN;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
IMAGING, THREE-DIMENSIONAL;
MAGNETIC RESONANCE IMAGING;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
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EID: 73349083009
PISSN: 07403194
EISSN: 15222594
Source Type: Journal
DOI: 10.1002/mrm.22173 Document Type: Article |
Times cited : (41)
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References (18)
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