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Estimation of Necrosis Volumes in Focal Liver LesionsBased on Multi-phase Hepatic CT Images

机译:多相肝CT图像局灶性肝脏病变中坏死体积的估算

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This study presents a computer-aided volumety (CAV) scheme that estimates the necrosis volumes in the focal liver lesions based on the multi-phase hepatic CT images for estimation of liver tumor burden. We developed a CAV scheme that consisted of the following three major steps: registration of multi-phase series based upon the portal-venous phase images, modeling of the concentration-time curve and thus estimattion of the arterial and portal-venous blood flow, and segmentation of the necrotic and tumorous tissues. Sixteen hepatocellular carcinoma cases were used for the evaluation of the CAV scheme. The total blood volume distribution of the liver tissue, tumor, and necrosis was computed in these datasets. The blood volumes for the liver tissue, tumor, and necrosis had 0.250±0.129, 0.171±0.073, and 0.054±0.045 ml/sec, respectively. The CAV scheme was shown to be potentially useful for efficient and accurate longitudinal measurement of liver tumor burdens in hepatic CT images.
机译:该研究介绍了一种计算机辅助体积(CAV)方案,其基于多相肝CT图像估计局灶性肝病变中的坏死体积,以估计肝肿瘤负担。我们开发了一个CAV方案,由以下三个主要步骤组成:基于门静脉期图像的多相系列登记,浓缩时间曲线的建模,从而估计动脉和门静脉血流,以及坏死和肿瘤组织的分割。 16例肝细胞癌病例用于评估CAV方案。在这些数据集中计算了肝组织,肿瘤和坏死的总血容量分布。肝脏组织,肿瘤和坏死的血量分别为0.250±0.129,0.171±0.073和0.054±0.045ml / sec。显示CAV方案对于肝脏CT图像中的肝脏肿瘤负担的高效和准确纵向测量可能有用。

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