A Clustering Algorithm for Liver Lesion Segmentation of Diffusion-Weighted MR Images.
A Clustering Algorithm for Liver Lesion Segmentation of Diffusion-Weighted MR Images.
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DOI：
10.1109/ssiai.2010.5483911
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发表时间：
2010-05-23
期刊：
影响因子：
--
通讯作者：
Stopeck AT
中科院分区：
文献类型：
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作者：
Jha AK;Rodríguez JJ;Stephen RM;Stopeck AT
In diffusion-weighted magnetic resonance imaging, accurate segmentation of liver lesions in the diffusion-weighted images is required for computation of the apparent diffusion coefficient (ADC) of the lesion, the parameter that serves as an indicator of lesion response to therapy. However, the segmentation problem is challenging due to low SNR, fuzzy boundaries and speckle and motion artifacts. We propose a clustering algorithm that incorporates spatial information and a geometric constraint to solve this issue. We show that our algorithm provides improved accuracy compared to existing segmentation algorithms.
