Cognitive analysis system for description and recognition of pathological changes in coronary arteries structure

Mathematical and Computer Modelling Pub Date : 2013-09-01 DOI:10.1016/j.mcm.2012.11.029

Mirosław Trzupek, Marek R. Ogiela

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引用次数: 5

Abstract

In this paper the authors present the idea of a system for cognitive analysis of coronary vascularisation reconstructions acquired by a 128-slice spiral CT apparatus. Unlike previous authors’ solutions this paper presents a multi-stage analysis system, which utilises cognitive analysis for description and recognition of pathological changes in coronary arteries structure. Such systems can be built for various types of data, but the main subject of this paper is a presentation of the cognitive system for diagnostic and therapeutic purposes. The main idea of such a system consists in gathering information from several stages of analysis, which allows a comprehensive assessment of the analysed image and formulation of the appropriate diagnosis. The proposed methods although they are mainly predestined for medical applications can also provide a base for other solutions, particularly for the acquisition and sophisticated semantic analysis of complex image patterns. Such techniques can be of great significance and find a number of uses in image recognition.

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用于描述和识别冠状动脉结构病理变化的认知分析系统

在本文中，作者提出了一个认知分析系统的想法，该系统是由128层螺旋CT设备获得的冠状动脉血管重建。与之前作者的解决方案不同，本文提出了一个多阶段分析系统，该系统利用认知分析来描述和识别冠状动脉结构的病理变化。这样的系统可以为各种类型的数据建立，但本文的主要主题是介绍用于诊断和治疗目的的认知系统。这种系统的主要思想包括从分析的几个阶段收集信息，从而可以对分析的图像进行全面评估并制定适当的诊断。所提出的方法虽然主要是为医疗应用而设计的，但也可以为其他解决方案，特别是复杂图像模式的获取和复杂语义分析提供基础。这些技术在图像识别中具有重要的意义和许多用途。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mathematical and Computer Modelling 数学-计算机：跨学科应用

自引率

0.00%

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审稿时长

9.5 months