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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