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Bimodal Ultrasound Motion Recovery from Incomplete Data

M. Arigovindan, M. Sühling, C. Jansen, P. Hunziker, M. Unser

Proceedings of the 2004 Annual Meeting of the Swiss Society of Biomedical Engineering (SSBE'04), Zürich ZH, Swiss Confederation, September 2-3, 2004, poster 47.



We propose a novel method for motion recovery from ultrasound data using both B-mode and tissue Doppler images. Both modalities provide partial information of the motion: B-mode images yield relative motion along the intensity gradient (also known as optical flow constraint) and the tissue Doppler images give relative motion along the beam direction. The proposed method attempts to exploit both kinds of partial information to recover the true motion. We propose to use Doppler measurements from all pixel locations whereas we choose optical flow constraints only in the high-gradient regions. This corresponds to an irregular sampling problem, where the samples are these relative motion data. We formulate the reconstruction problem in the continuous domain; in particular, we search for a solution in a cubic spline space that minimizes the error at sampling locations subject to some regularization constraint. We demonstrate that our method is more robust than the approaches of the literature which estimate motion from optical flow alone (unimodal formulation). Part of the robustness of our algorithm is imposed globally via the regularization constraint; another important local component is due to the elimination of pixel locations where the optical-flow constraint is unreliable (irregular sampling). In addition, our continuous-domain formulation in the spline spaces leads to a very fast and numerically efficient algorithm.


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