Left ventricular function and regional strain with subtly-tagged steady-state free precession feature tracking.

JOURNAL OF MAGNETIC RESONANCE IMAGING(2018)

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摘要
PurposeTo provide regional strain and ventricular volume from a single acquisition, using subtly tagged steady-state free precession (SubTag SSFP) feature tracking. Materials and MethodsThe effects on regional strain of tag strength in gradient recalled echo (GRE) tagging, flip angle in untagged balanced SSFP, and both in SubTag SSFP were examined in the mid left ventricle of 15 healthy volunteers at 3T. Optimal parameters were determined from varying both tag strength and SSFP flip angle using full tag saturation GRE as the reference standard. SubTag SSFP was acquired in 15 additional healthy volunteers for whole-heart volume and strain assessment using the optimized parameters. Values measured by two image analysts were compared to clinical reference standards from untagged SSFP (volumes) and GRE tagging (strains). ResultsRegional strain accuracy was maintained with decreasing total tagging flip angle (); less than 3% differences for 26 degrees. For untagged SSFP flip angle (), whole-wall strain differences became statistically significant when < 40 degrees. A SubTag SSFP acquisition with =40 degrees and =46 degrees showed the best combination of tagging strength, blood-myocardial contrast, and tag persistence at end-systole for regional strain estimation. SubTag SSFP also showed excellent agreement with untagged SSFP for volumetrics (percent difference: end-diastolic volume=0.6%, end-systolic volume=0.4%, stroke volume=1.2%, ejection fraction=0.6%, mass=1.1%). ConclusionFeature tracking for regional myocardial strain assessment is dependent on image features, mainly the tag strength, persistence, and image contrast. SubTag SSFP balances these criteria to provide accurate regional strain and volumetric assessment in a single acquisition. Level of Evidence: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2018;47:787-797.
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关键词
cardiovascular magnetic resonance,feature tracking,tagging,volumetrics,circumferential strain
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