Real-time segmentation in 4D ultrasound with continuous max-flow

M. Rajchl; J. Yuan; T. M. Peters

doi:10.1117/12.911399

14 February 2012 Real-time segmentation in 4D ultrasound with continuous max-flow

M. Rajchl, J. Yuan, T. M. Peters

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83141F (2012) https://doi.org/10.1117/12.911399
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

Citation Download Citation

M. Rajchl, J. Yuan, and T. M. Peters "Real-time segmentation in 4D ultrasound with continuous max-flow", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141F (14 February 2012); https://doi.org/10.1117/12.911399

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