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Level Set Segmentation method and apparatus for Medical Image

机译:级别设置分割方法和用于医学图像的装置

摘要

The present invention relates to a method for dividing a 3D level set for a medical image, the method comprising: allocating indexes for structure information recorded in level set data vector information to each of a plurality of core units that are multi-cores of a GPU; Each of the plurality of cores assigned the index reads the structure information of the voxel and the voxels around the voxel recorded in the structure information corresponding to the assigned index, and calculates the level of the voxel based on the structure information. And updating a level of a corresponding voxel with the calculated level; And deriving an object region from the updated voxel levels, wherein the plurality of core units, which are multi-cores, perform parallel processing of calculating and updating the levels of the voxels.
机译:本发明涉及一种划分用于医学图像的3D级别的方法,该方法包括:用于将级别设置数据向量信息中记录的结构信息的索引分配给GPU的多核的多个核心单元中的每一个分配索引;分配的多个核心中的每一个读取体素的结构信息和围绕记录在与分配的索引对应的结构信息中的体素周围的体素,并基于结构信息计算体素的级别。并使用计算水平更新相应的体素的水平;从更新的体素级别导出对象区域,其中,多个核心单元是多核的,执行计算和更新体素的级别的并行处理。

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