An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method

Jeongjin Lee; Namkug Kim; Ho Lee; Joon Beom Seo; Hyung Jin Won; Yong Moon Shin; Yeong Gil Shin

doi:10.1117/12.710175

26 March 2007 An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method

Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong Gil Shin

Author Affiliations +

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65122V (2007) https://doi.org/10.1117/12.710175
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Automatic liver segmentation is still a challenging task due to the ambiguity of liver boundary and the complex context of nearby organs. In this paper, we propose a faster and more accurate way of liver segmentation in CT images with an enhanced level set method. The speed image for level-set propagation is smoothly generated by increasing number of iterations in anisotropic diffusion filtering. This prevents the level-set propagation from stopping in front of local minima, which prevails in liver CT images due to irregular intensity distributions of the interior liver region. The curvature term of shape modeling level-set method captures well the shape variations of the liver along the slice. Finally, rolling ball algorithm is applied for including enhanced vessels near the liver boundary. Our approach are tested and compared to manual segmentation results of eight CT scans with 5mm slice distance using the average distance and volume error. The average distance error between corresponding liver boundaries is 1.58 mm and the average volume error is 2.2%. The average processing time for the segmentation of each slice is 5.2 seconds, which is much faster than the conventional ones. Accurate and fast result of our method will expedite the next stage of liver volume quantification for liver transplantations.

Citation Download Citation

Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, and Yeong Gil Shin "An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122V (26 March 2007); https://doi.org/10.1117/12.710175

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