Automatic liver segmentation from abdominal CT scans
Automatic liver segmentation from abdominal CT scans
复制标题
根据腹部 CT 扫描自动分割肝脏
DOI：
10.1109/iciap.2007.34
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
G. Lombardi
中科院分区：
文献类型：
--
作者：
P. Campadelli;E. Casiraghi;G. Lombardi
近年来，腹部CT图像已被广泛研究，因为它们正成为腹部器官调查的宝贵手段。在医学图像处理领域，肝脏病变的自动诊断及其三维体绘制是当前的研究热点。在所有这些研究中，第一个也是最基本的步骤是自动肝脏分割，这仍然是一个悬而未决的问题。在本文中，我们描述了两种自动分割肝脏腹部CT数据的方法。他们已经评估了40例患者的数据，通过比较自动检测的肝脏体积手动追踪的肝脏边界由三位专家。性能最佳的方法实现了95%的对称体积差异，这与专家手动分割的个体间和个体内变异性相当。
Abdominal CT images have been widely studied in the recent years as they are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver pathologies and its 3D volume rendering. The first and fundamental step in all these studies is the automatic liver segmentation, that is still an open problem. In this paper we describe two automatic methods to segment the liver from abdominal CT data. They have been evaluated on the data of 40 patients, by comparing the automatically detected liver volumes to the liver boundaries manually traced by three experts. The best performing method achieves a symmetric volume difference of 95%, which is comparable to the inter and intra-personal variability of the manual segmentation produced by experts.
影响因子：
3.8
作者：
BAE, KT;GIGER, ML;KAHN, CE
通讯作者：
KAHN, CE
影响因子：
19.7
作者：
Gao, LM;Heath, DG;Fishman, EK
通讯作者：
Fishman, EK