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

机译:基于多相肝脏CT图像的局灶性肝病灶坏死体积估计

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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 multiphase 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 estimation 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:这项研究提出了一种计算机辅助体积(CAV)方案,该方案基于多相肝CT图像估算肝脏局灶性病变的肝脏坏死体积。我们开发了一个CAV方案,该方案包括以下三个主要步骤:基于门静脉相图像的多相序列配准,浓度-时间曲线建模以及由此估算的动脉和门静脉血流量,以及坏死和肿瘤组织的分割。 16例肝细胞癌病例被用于评估CAV方案。在这些数据集中计算肝脏组织,肿瘤和坏死的总血容量分布。肝组织,肿瘤和坏死的血容量分别为0.250±0.129、0.171±0.073和0.054±0.045 ml / sec。事实证明,CAV方案对于有效,准确地纵向测量肝CT图像中的肝肿瘤负荷具有潜在的帮助。

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