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Methods for the Segmentation of Lungs, Lung Vasculature and Lung Lobes from CT Data and Clinical Applications

机译:从CT数据和临床应用中分割肺、肺血管和肺叶的方法

摘要

Method and processes for segmentation of lungs lobes from CT image data are disclosed. Lobe segmentation relies on other segmentations, including the lungs, the lung airways and vasculature. Segmentation methods and processes begin with the acquisition of 3-D image data such as from a high resolution CT scan of a patient's lungs or at least a region thereof. The image is then processed to provide a segmentation mask from which the components are extracted to identify the lungs and airway. Lung vasculature and lobes are identified by similar processes.
机译:公开了从CT图像数据分割肺叶的方法和过程。肺叶分割依赖于其他分割,包括肺、肺气道和血管系统。分割方法和过程从获取三维图像数据开始,例如从患者肺部或其至少一个区域的高分辨率CT扫描中获取。然后对图像进行处理,以提供一个分割模板,从中提取组件以识别肺部和气道。肺血管系统和肺叶由类似的过程识别。

著录项

  • 公开/公告号US2022092791A1

    专利类型

  • 公开/公告日2022-03-24

    原文格式PDF

  • 申请/专利权人 VERAN MEDICAL TECHNOLOGIES INC.;

    申请/专利号US202117543472

  • 发明设计人 ANDREW DOUGHERTY;MARK HUNTER;

    申请日2021-12-06

  • 分类号G06T7/187;G06T7/11;G06T7/155;G06T17;G06T7;G06T7/64;G06T7/215;G06T7/62;G06T7/73;G06T15/08;

  • 国家 US

  • 入库时间 2022-08-25 00:03:31

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