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改进早期中风检测:基于小波的计算机断层扫描检查感知增强

Improved early stroke detection: wavelet-based perception enhancement of computerized tomography exams.

作者信息

Przelaskowski A, Sklinda K, Bargieł P, Walecki J, Biesiadko-Matuszewska M, Kazubek M

机构信息

Institute of Radioelectronics, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warszawa, Poland.

出版信息

Comput Biol Med. 2007 Apr;37(4):524-33. doi: 10.1016/j.compbiomed.2006.08.004. Epub 2006 Sep 25.

Abstract

Nonenhanced computerized tomography (CT) exams were used to detect acute stroke by notification of hypodense area. Infarction perception improvement by data denoising and local contrast enhancement in multi-scale domain was proposed. The wavelet-based image processing method enhanced the subtlest signs of hypodensity, which were often invisible in standard CT scan review. Thus improved detection efficiency of perceptual ischemic changes was investigated. Data processing became more effective by initial segmentation of brain tissue and extraction of regions susceptible to tissue density changes. The new method was experimentally verified. Sensitivity of stroke diagnosis increased to 56.3% in comparison to 12.5% of standard CT scan preview.

摘要

非增强计算机断层扫描(CT)检查通过低密度区域的提示来检测急性中风。提出了通过多尺度域中的数据去噪和局部对比度增强来改善梗死感知。基于小波的图像处理方法增强了低密度的最细微迹象,这些迹象在标准CT扫描检查中通常是不可见的。因此,研究了提高感知性缺血变化检测效率的方法。通过对脑组织进行初始分割和提取易受组织密度变化影响的区域,数据处理变得更加有效。该新方法经过了实验验证。与标准CT扫描预览的12.5%相比,中风诊断的敏感性提高到了56.3%。

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