Unsupervised motion tracking of left ventricle in echocardiography

Shawn S. Ahn; Kevinminh Ta; Allen Lu; John C. Stendahl; Albert J. Sinusas; James S. Duncan

doi:10.1117/12.2549572

16 March 2020 Unsupervised motion tracking of left ventricle in echocardiography

Shawn S. Ahn, Kevinminh Ta, Allen Lu, John C. Stendahl, Albert J. Sinusas, James S. Duncan

Author Affiliations +

Proceedings Volume 11319, Medical Imaging 2020: Ultrasonic Imaging and Tomography; 113190Z (2020) https://doi.org/10.1117/12.2549572
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Accurate motion tracking of the left ventricle is critical in detecting wall motion abnormalities in the heart after an injury such as a myocardial infarction. We propose an unsupervised motion tracking framework with physiological constraints to learn dense displacement fields between sequential pairs of 2-D B-mode echocardiography images. Current deep-learning motion-tracking algorithms require large amounts of data to provide ground-truth, which is difficult to obtain for in vivo datasets (such as patient data and animal studies), or are unsuccessful in tracking motion between echocardiographic images due to inherent ultrasound properties (such as low signal-to-noise ratio and various image artifacts). We design a U-Net inspired convolutional neural network that uses manually traced segmentations as a guide to learn displacement estimations between a source and target image without ground- truth displacement fields by minimizing the difference between a transformed source frame and the original target frame. We then penalize divergence in the displacement field in order to enforce incompressibility within the left ventricle. We demonstrate the performance of our model on synthetic and in vivo canine 2-D echocardiography datasets by comparing it against a non-rigid registration algorithm and a shape-tracking algorithm. Our results show favorable performance of our model against both methods.

Citation Download Citation

Shawn S. Ahn, Kevinminh Ta, Allen Lu, John C. Stendahl, Albert J. Sinusas, and James S. Duncan "Unsupervised motion tracking of left ventricle in echocardiography", Proc. SPIE 11319, Medical Imaging 2020: Ultrasonic Imaging and Tomography, 113190Z (16 March 2020); https://doi.org/10.1117/12.2549572

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