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Monte Carlo simulation of spectroscopic imaging data
Author(s) -
Harpen Michael D.
Publication year - 1986
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.595825
Subject(s) - monte carlo method , imaging phantom , nuclear magnetic resonance , magnetic resonance imaging , materials science , medical imaging , relaxation (psychology) , signal (programming language) , computational physics , physics , optics , mathematics , medicine , radiology , computer science , statistics , programming language
Presented is a quantitative analysis of fat and water spectroscopic imaging. Nuclear magnetic resonance (NMR) signal decay curves obtained from conventional and spectroscopic imaging of a variety of fat and water samples in a phantom and of bone marrow, adipose tissue, and muscle from a clinical scan are analyzed to determine the transverse relaxation times and percent contribution to total signal of the fat and water fractions. The variance–covariance structure of parameter estimations obtained by the spectroscopic imaging technique is compared with those obtained by the conventional in‐phase imaging technique by means of a Monte Carlo simulation.