首页> 外文会议>IASTED International Conference on Signal and Image Processing >DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING PARAMETER BASED COMPUTER ASSISTED DIAGNOSTIC TOOL USING THREE RANDOM VARIABLE CO-OCCURRENCE APPROACH
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DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING PARAMETER BASED COMPUTER ASSISTED DIAGNOSTIC TOOL USING THREE RANDOM VARIABLE CO-OCCURRENCE APPROACH

机译:动态对比度增强磁共振成像参数基于计算机辅助诊断工具,使用三种随机变量共发生方法

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In this research we describe an implementation of the joint statistical co-occurrence analysis of 3 types of dynamic contrast enhanced magnetic resonance (DCE-MR) images of breast tissue for detection of tumors. The method was implemented in distributed and parallel environments to decrease the long execution time caused by the huge size of data. This method is the first known implementation of the joint statistical co-occurrence analysis on 3 types of pharmacokinetic data and also the first implementation of multi-image co-occurrence analysis for medical applications.
机译:在该研究中,我们描述了3种动态对比增强磁共振(DCE-MR)图像的联合统计共生发生分析的实施,以检测肿瘤。该方法在分布式和并行环境中实现,以减少由大小的数据尺寸引起的长执行时间。该方法是第一种已知的3种药代动力学数据的联合统计共生发生分析的实现,也是医疗应用的多图像共生分析的第一次实现。

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