基于图像处理的血管网络分析

Sercan Erbakan, I. Bakar, E. Z. Engin, Kubra Seker, Ibrahim Akkaya, M. Engin
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引用次数: 0

摘要

不受控制的新血管形成(血管生成)是癌细胞生长和转移的重要步骤。如今,抑制新血管生长的药物已经被开发出来用于癌症治疗。在癌症治疗管理中,了解血管的延伸范围是至关重要的,以便指导治疗。血管成像设备和治疗方法可在临床应用。然而,它们中的许多都是侵入性的、不可移植的和昂贵的系统。另一方面,皮肤癌和乳腺癌的早期诊断逐渐增加,这大大提高了生存率。因此,对便携式、廉价和非侵入性系统的需求对于监测早期诊断条件和/或诊断肿瘤的结构起着重要作用。为了检测新血管的形成,系统可以对记录的图像进行血管复杂性和血管宽度分析。在本研究中;人工血管网络用于确定使用这些分析的图像处理技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image processing based vascular network analysis
Uncontrolled new blood vessel formation (angiogenesis) is really important step for the growth and metastasis of cancer cells. Nowadays, drugs which inhibit new vessel growth have been developed for cancer treatment. In cancer treatment management, it is vital to know which extend the vascularity reaches in order to guide the treatment. Vascular imaging devices and methods of treatment are available in clinical applications. However, many of them are invasively, non-portable and expensive systems. On the other hand, early diagnosis of skin and breast cancers gradually increased, which greatly increases the rate of survival. Hence, the need for a portable, cheap and non-invasive system plays an important role for the monitoring of early diagnostic conditions and/or the structure of a diagnosed tumor. To detect the new blood vessel formation, analysis of vessel complexity and width can be used on the recorded images by the systems. In this study; artificial vascular networks are used to determine the image processing techniques for using these analyses.
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