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METHOD AND SYSTEM FOR BINARY AND QUASI-BINARY ATLAS-BASED AUTO-CONTOURING OF VOLUME SETS IN MEDICAL IMAGES

机译:基于二值和准二值图集的医学图像体积集自动构建的方法和系统

摘要

The present invention is a set of algorithms or calculations that may be applied to efficiently use atlas-based segmentation using QBinary (binary and/or quasi-binary) representations of images and/or their ROIs. A QBinary representation of an image or a part of an image (for example, such as a ROI) may be a binary image (for example, such as a code with 1 bit) and or a quasi-binary image (for example, such as a code with more than 1 and less than 8 bits) that serves to represent that image and/or ROI in an atlas. Two-dimensional QBinary codes may be used to both construct QBinary atlases and QBinary-controlled atlases with or without QB-Codes registration. Additionally, the present invention may offer a set of algorithms to sequentially auto-contour (or auto- segment) individual slices of a volume set of digital images without or without QB-Codes registration, provided one slice is semi-automatically contoured by a human operator.
机译:本发明是一组算法或计算,其可以被应用来使用图像和/或其ROI的QBinary(二进制和/或准二进制)表示来有效地使用基于图谱的分割。图像或图像的一部分(例如,ROI)的QBinary表示可以是二进制图像(例如,具有1位的代码),也可以是准二进制图像(例如, (具有大于1且小于8位的代码),用于表示地图集中的图像和/或ROI。二维QBinary代码可用于构造具有或不具有QB代码注册的QBinary地图集和QBinary控制的地图集。另外,本发明可以提供一组算法,以在不具有或不具有QB代码配准的情况下顺序自动轮廓化(或自动分割)数字图像的体积集合的各个切片,条件是一个切片是人半自动轮廓化的操作员。

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