Abstract
Myocardial deformation imaging at a high frame rate (HFR) has the potential to gain new insights in cardiac mechanics by resolving short-lived mechanical events during the cardiac cycle. In order to achieve such high frame rate, our lab recently proposed to combine multi-line transmit with ‘anatomical imaging’ i.e. imaging only the anatomically relevant spatial domain (e.g. the myocardium). Although we have previously proposed and validated a non-rigid registration (NRIR) framework for motion estimation of low frame rate (LFR) acquisitions, estimation of motion in the anatomical HFR scans poses two challenges. Firstly, since NRIR optimizes motion globally, the lack of image content outside the anatomical domain is a challenge. Secondly, HFR implies smaller inter-frame motion and therefore increases the risk of the accumulation of tracking errors. The primary aim of this study was therefore to demonstrate that NRIR tracks the myocardium in anatomically scanned HFR data with a comparable accuracy as LFR data.
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