2017
DOI: 10.1002/cnm.2871
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Fast left ventricle tracking using localized anatomical affine optical flow

Abstract: In daily clinical cardiology practice, left ventricle (LV) global and regional function assessment is crucial for disease diagnosis, therapy selection, and patient follow-up. Currently, this is still a time-consuming task, spending valuable human resources. In this work, a novel fast methodology for automatic LV tracking is proposed based on localized anatomically constrained affine optical flow. This novel method can be combined to previously proposed segmentation frameworks or manually delineated surfaces at… Show more

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Cited by 21 publications
(19 citation statements)
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“…A supplementary constraint based on tissue Doppler can very likely reduce biases. Finally the addition of physiological constraints or deformation models [41] could further reduce errors due to out-of-plane motions, for example.…”
Section: Possible Improvements Of the Optical Flow Methodsmentioning
confidence: 99%
“…A supplementary constraint based on tissue Doppler can very likely reduce biases. Finally the addition of physiological constraints or deformation models [41] could further reduce errors due to out-of-plane motions, for example.…”
Section: Possible Improvements Of the Optical Flow Methodsmentioning
confidence: 99%
“…2-E). The final ED myocardial segmentation is then propagated frame to frame using a localized anatomical affine optical flow (lAAOF) strategy [25] (Fig. 2-F) and a final refinement of the ES segmentation is performed using first the ES endocardial SSM (Fig.…”
Section: D Left Ventricular Myocardial Segmentationmentioning
confidence: 99%
“…Several methods have been used to estimate the optical flow of the endocardial wall motion [40]. In [41], a global anatomically constrained affine optical flow tracking was used to track the end-diastole left ventricle surface throughout the cardiac cycle. For [42], this approach first performs 3D segmentation at the end-diastolic frame and then performs tracking over the cardiac cycle using both global (optical flow) and local (block matching) methods.…”
Section: Introductionmentioning
confidence: 99%