Abstract #0663

Cardiovascular Susceptibility Weighted Imaging Computed Using Water-Fat Separation Improves Intramyocardial Hemorraghe Detection Specificity

James Goldfarb ^1,2

¹ Department of Research and Education, Saint Francis Hospital, Roslyn, NY, United States, ² Biomedical 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 myocardial infarction.

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