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Model-based segmentation of anatomical structures

机译:基于模型的解剖结构分割

摘要

A system and method is provided for performing a model-based segmentation of a medical image which only partially shows an anatomical structure. In accordance therewith, a model is applied to the image data of the medical image, the model-based segmentation providing an adapted model having a first model part having been adapted to the first part of the anatomical structure in the medical image of the patient, and a second model part representing the second part of the anatomical structure not having been adapted to a corresponding part of the medical image. Metadata is generated which identifies the first model part to enable the first model part to be distinguished from the second model part in a further processing of the adapted model. Advantageously, the metadata can be used to generate an output image which visually indicates to the user which part of the model has been personalized and which part of the model has not been personalized. Other advantageous uses of the metadata in the further processing of the adapted model have also been conceived.
机译:提供了一种用于执行仅部分示出解剖结构的医学图像的基于模型的分割的系统和方法。据此,将模型应用于医学图像的图像数据,基于模型的分割提供了具有第一模型部分的适应模型,该第一模型部分已经适应于患者医学图像中的解剖结构的第一部分,第二模型部分,其代表解剖结构的第二部分,尚未适应医学图像的相应部分。生成标识第一模型部分的元数据,以使第一模型部分能够在适应模型的进一步处理中与第二模型部分区分开。有利地,元数据可以用于生成输出图像,该输出图像向用户可视地指示模型的哪一部分已经被个性化并且模型的哪一部分尚未被个性化。还已经设想了元数据在适应模型的进一步处理中的其他有利用途。

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