基于蛇形的肝脏病变分割

6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004. Pub Date : 2004-03-28 DOI:10.1109/IAI.2004.1300971

C. Krishnamurthy, J.J. Rodriguez, R. Gillies

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引用次数: 21

摘要

讨论了一种新的、鲁棒的肝脏病变精确分割方法。利用边缘和区域信息形成蛇的初始轮廓。修改后的蛇在模糊边缘信息的引导下，从这个初始位置变形，以很少的迭代和最小的用户交互提供了病变边界的准确表示。从该算法获得的结果与由训练有素的放射科医生手工分割获得的结果相当。

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Snake-based liver lesion segmentation

A novel and robust method for accurate segmentation of liver lesions is discussed. The initial contour for the snake is formed using edge and region information. The modified snake, guided by fuzzy edge information, deforms from this initial position, providing an accurate representation of the lesion boundary with few iterations and minimal user interaction. Results obtained from this algorithm are comparable to those obtained from manual segmentation by a trained radiologist.

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6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.

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