3D segmentation of medical volume image using hybrid level set method

Myungeun Lee; Wanhyun Cho; Sunworl Kim; Yanjuan Chen; Soohyung Kim

doi:10.1117/12.877751

14 March 2011 3D segmentation of medical volume image using hybrid level set method

Myungeun Lee, Wanhyun Cho, Sunworl Kim, Yanjuan Chen, Soohyung Kim

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796235 (2011) https://doi.org/10.1117/12.877751
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

We present a new segmentation method using the level set framework for the medical volume images. The method has conducted by the curve evolution model based on the geometric variation principle and the level set theory. And the speed function in the level set approach consists of hybrid combination of three integral measures that are derived by the theory of calculus of variation. They are defined by robust alignment term, active region term, and smoothing term. These measures can help to detect the precise location of the target object and prevent from the boundary leakage problem. The proposed method has been tested on the various medical volume images with tumor region to evaluate its performance on visual and quantitative. From the experimental results, an effectiveness and superior performance of our method is relatively excellent compared with traditional approaches.

Citation Download Citation

Myungeun Lee, Wanhyun Cho, Sunworl Kim, Yanjuan Chen, and Soohyung Kim "3D segmentation of medical volume image using hybrid level set method", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796235 (14 March 2011); https://doi.org/10.1117/12.877751

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