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Proceedings Paper

Real-time segmentation in 4D ultrasound with continuous max-flow
Author(s): M. Rajchl; J. Yuan; T. M. Peters
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Paper Abstract

We present a novel continuous Max-Flow based method to segment the inner left ventricular wall from 3D trans-esophageal echocardiography image sequences, which minimizes an energy functional encoding two Fisher-Tippett distributions and a geometrical constraint in form of a Euclidean distance map in a numerically efficient and accurate way. After initialization the method is fully automatic and is able to perform at up to 10Hz making it available for image-guided interventions. Results are shown on 4D TEE data sets from 18 patients with pathological cardiac conditions and the speed of the algorithm is assessed under a variety of conditions.

Paper Details

Date Published: 14 February 2012
PDF: 8 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141F (14 February 2012); doi: 10.1117/12.911399
Show Author Affiliations
M. Rajchl, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
J. Yuan, The Univ. of Western Ontario (Canada)
T. M. Peters, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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