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Automated method for relating regional pulmonary structure and function: integration of dynamic multislice CT and thin-slice high-resolution CT

机译:关于区域肺部结构的自动化方法和功能:动态多层CT和薄切片高分辨率CT的集成

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We have developed a method utilizing x-ray CT for relating pulmonary perfusion to global and regional anatomy, allowing for detailed study of structure to function relationships. A thick slice, high temporal resolution mode is used to follow a bolus contrast agent for blood flow evaluation and is fused with a high spatial resolution, thin slice mode to obtain structure- function detail. To aid analysis of blood flow, we have developed a software module, for our image analysis package (VIDA), to produce the combined structure-function image. Color coded images representing blood flow, mean transit time, regional tissue content, regional blood volume, regional air content, etc. are generated and imbedded in the high resolution volume image. A text file containing these values along with a voxel's 3-D coordinates is also generated. User input can be minimized to identifying the location of the pulmonary artery from which the input function to a blood flow model is derived. Any flow model utilizing one input and one output function can be easily added to a user selectable list. We present examples from our physiologic based research findings to demonstrate the strengths of combining dynamic CT and HRCT relative to other scanning modalities to uniquely characterize pulmonary normal and pathophysiology.
机译:我们开发了一种利用X射线CT的方法,用于将肺灌注与全局和区域解剖结构相关,从而允许对功能关系进行详细研究。厚的切片,高时的分辨率模式用于跟随血流评估的推注造影剂,并与高空间分辨率融合薄片模式以获得结构功能细节。为了帮助分析血流,我们开发了一种软件模块,用于我们的图像分析包(VIDA),以产生组合的结构函数图像。在高分辨率体积图像中产生并嵌入具有血流,平均转动时间,区域组织含量,区域血容量,区域空气含量等的彩色编码图像。还生成包含这些值以及Voxel的3-D坐标的文本文件。可以最小化用户输入以识别肺动脉的位置,从中导出了对血流模型的输入功能。利用一个输入和一个输出功能的任何流程模型都可以轻松地添加到用户可选列表中。我们从基于生理学的研究结果提出了实例,以证明相对于其他扫描方式结合动态CT和HRCT的优点,以唯一地表征肺正常和病理生理学。

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