Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography

Dae Hoe Kim; Konstantinos N. Plataniotis; Yong Man Ro

doi:10.1117/12.2043953

18 March 2014 Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography

Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro

Author Affiliations +

Proceedings Volume 9035, Medical Imaging 2014: Computer-Aided Diagnosis; 90352Q (2014) https://doi.org/10.1117/12.2043953
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In this study, new free fluid segmentation method is proposed, aiming to increase segmentation accuracy on free fluids, at the same time, decrease processing time, regardless of the accuracy of initial seeds. In order to segment free fluid regions fast and accurate, we propose a new free fluid segmentation based on Chan-vese level-set with an improved initialization using minimum variance region growing. The proposed method is devised to take complementary effects on both methods. In experiments, the effectiveness of the proposed method is demonstrated with 3D US volumes in terms of Dice’s coefficient, volume difference, Hausdorff distance and processing time. Results show that the proposed method outperforms CVLS and MVRG in terms of processing time as well as segmentation accuracy.

Citation Download Citation

Dae Hoe Kim, Konstantinos N. Plataniotis, and Yong Man Ro "Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352Q (18 March 2014); https://doi.org/10.1117/12.2043953

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