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Abstract #3175

Elliptical filter optimization for HARP based strain quantification in skeletal muscle

Melissa T. Hooijmans1,2, Crystal L. Coolbaugh3, Xingyu Zhou2,4, Mark K. George2, and Bruce M. Damon4,5,6
1Department of Radiology & Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam UMC, Location AMC, Amsterdam, Netherlands, 2Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 3Vanderbilt University Institute of Imaging Sciences, Nashville, TN, United States, 4Department of Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 6Department of Molecular Physiology & Biophysics, Vanderbilt University Medical Center, Nashville, TN, United States

SPAMM, combined with HARP, is primarily used for strain quantification in the myocardium; but applications in other soft tissues, including skeletal muscle, are increasing. HARP suffers from artifacts due to usage of inappropriate filters and should therefore be optimized especially for skeletal muscle. We simulated strains ranging from -0.156 to +0.156 (decimal strain) in dynamically acquired line- and grid-tagged SPAMM images, and optimized elliptical filter parameters were determined for skeletal muscle. With this filter, differences between the measured strain and absolute strain were small for the low strain values and increased with the actual strain values and number of dynamics.

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