Cardiovascular Susceptibility Weighted Imaging Computed Using Water-Fat Separation Improves Intramyocardial Hemorraghe Detection Specificity
James Goldfarb 1,2
Department of Research and Education, Saint
Francis Hospital, Roslyn, NY, United States,
Engineering, Stony Brook University, Stony Brook, New
York, United States
A new susceptibility weighted imaging (SWI) method is
implemented and evaluated for the detection of
intramyocardial hemorrhage in myocardial infarction.
Intramyocardial fat and hemorrhage are features of
chronic and acute myocardial infarction, respectively.
Use of fat-water separation processing before
conventional SWI image construction removes
susceptibility contributions from intramyocardial fat
and improves the specificity of IMH detection. Results
are presented from 20 patients with acute and chronic
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