Ryosuke Inoguchi

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PURPOSE Assessing the treated region with locoregional therapy (LT) provides valuable information for predicting hepatocellular carcinoma (HCC) recurrence. The commonly used of assessment method is inefficient because it only compares two-dimensional CT images manually. In our previous work, we automatically aligned the two CT volumes to evaluate the(More)
The assessment of the treated margin with locoregional therapy (LT), for hepatocellular carcinoma (HCC), is the common method for predicting HCC recurrence in most hospital. However, tumors sometimes cannot be removed clearly with LT in limited conditions. The therapeutic efficiency of HCC is often evaluated by comparing 2D fusion images of computed(More)
Locoregional therapy (LT) is a popular method to cure hepatocellular carcinoma (HCC) of liver in the last few years. Evaluating the treated margin is a critical factor for predicting local recurrence after locoregional treatment is done. In this paper, we proposed a non-rigid registration method with constraint of anatomic landmarks for assessing treated(More)
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