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Combined segmentation and registration framework for parametric shapes

机译:参数形状的组合分割和配准框架

摘要

Progress monitoring of lesions is done automatically by segmentation and registration of lesions in multi-phase medical images. A parametric level-set framework includes a model optimization for any number of lesions. The user specifies lesions in a baseline volume by clicking inside of them. The apparatus segments the lesions automatically in the baseline and follow-up volumes. The segmentation optimization compensates for lesion motion between baseline and follow-up volumes. 2D and 3D medical patient data can be processed by the methods.
机译:通过在多阶段医学图像中对病变进行分割和配准,可以自动完成病变的进展监测。参数水平集框架包括针对任何数量病变的模型优化。用户通过在基线体积内单击来指定病变。该设备在基线和随访量中自动分割病变。分割优化补偿了基线和后续体积之间的病变运动。可以通过这些方法处理2D和3D医疗患者数据。

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