Multilayer perceptron based level sets for robust ultrasound image segmentation

M. Mora; C. Tauber; H. Batatia

doi:10.1117/12.708453

12 March 2007 Multilayer perceptron based level sets for robust ultrasound image segmentation

M. Mora, C. Tauber, H. Batatia

Proceedings Volume 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing; 65131C (2007) https://doi.org/10.1117/12.708453
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

The class of geometric deformable models, also known as level sets, has brought tremendous impact on medical imagery due to its capability of topology preservation and fast shape recovery. Ultrasound images are often characterized by a high level of speckle causing erroneous detection of contours. This work proposes a new stopping term for level sets, based on the coefficient of variation and a multilayer perceptron, in order to robustly detect the contours in ultrasound images. Successful applications of the MLP-Level Sets to detection of contours on synthetics and real images are presented.

Citation Download Citation

M. Mora, C. Tauber, and H. Batatia "Multilayer perceptron based level sets for robust ultrasound image segmentation", Proc. SPIE 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing, 65131C (12 March 2007); https://doi.org/10.1117/12.708453

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