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Alexandre Kabla
Mechanobiology and Soft Matter Group

Real-Time Block Flow Tracking of Atrial Septal Defect Motion in 4D Cardiac Ultrasound

Citation

M. G. Linguraru, A. Kabla, N. V. Vasilyev, P. J. del Nido, R. D. Howe
2007 4th IEEE International Symposium on Biomedical Imaging. Proceedings. p. 356-359 (2007)


Abstract

Real-time cardiac ultrasound allows monitoring the heart motion during intracardiac beating heart procedures. Our application assists atrial septal defect (ASD) closure techniques using real-time 3D ultrasound guidance. One major image processing challenge is the processing of information at high frame rate. We present an optimized block flow technique, which combines the probability-based velocity computation for an entire block with template matching. We propose adapted similarity constraints both from frame to frame, to conserve energy, and globally, to minimize errors. We show tracking results on eight in-vivo 4D datasets acquired from porcine beating-heart procedures. Computing velocity at the block level with an optimized scheme, our technique tracks ASD motion at 41 frames/s. We analyze the errors of motion estimation and retrieve the cardiac cycle in ungated images.



Figure sample


3D Ultra Sound image of a porcine beating-heart with Atrial Septal Defect (ASD). The US probe is placed on the exterior wall of the right atrium and pointed towards the left atrium. The image on the left shows the entire 3D US volume, while on the right we present a magnified view of the ASD. The patch must cover the entire ASD surface.

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