模式识别诊断肺气肿的阶段仅相关技术

Thejaswini Purushotham, K. R. Rao
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引用次数: 2

摘要

肺气肿是一种与肺有关的疾病。它在CT(计算机断层扫描)图像上显示为低衰减区域。用于检测肺气肿的传统方法是推导出CT图像的几个度量,如PI(像素指数)和BI(大泡指数),它们表示CT图像中低衰减像素的百分比。这些技术在低剂量CT图像中得分很低。本文提出了一种基于相位相关的肺气肿诊断算法。POC是一种与强度无关的技术,它可以直接映射受影响肺的范围和POC峰的长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pattern recognition diagnostics for emphysema using phase only correlation technique
Emphysema is a lung related disorder. It shows up on the CT (computer tomography) images as regions of low attenuation. Traditional methods used for detection of Emphysema have been derivation of several metrics of the CT image like the PI (pixel index) and BI (bullae index) which denote the percentage of pixels with low attenuation in the CT image. These techniques score low with low-dose CT images. Emphysema diagnosis using the POC (phase only correlation) algorithm is proposed in this paper. POC is a technique which is intensity independent gives a direct mapping between the extent of affected lung and the length of the POC peak.
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