MRI图像自动聚类及其在脑灌注MRI中的应用

P. Chuzel, A. Mansour, Julien Ognard, J. Gentric, L. Bressollette, D. Hamad, N. Betrouni
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引用次数: 4

摘要

为了在医学领域提出自动诊断,人们进行了许多研究。本文提出了一种处理脑MRI图像信号的谱聚类问题的新方法。在本研究中开发的工具链可以很容易地实现灌注MRI信息的提取和分析。为了证明这一点,一个可靠的程序,可以很容易地从任何病理组织分离健康。给出了实验结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic clustering for MRI images, application on perfusion MRI of brain
Many studies have been made in order to propose automatic diagnostic in medical fields. This paper proposes a new approach to deal with the problem of spectral clustering for signal extracted from brain MRI images. The tool-chain developed during this study can be easily implemented for the extraction and the analysis of information from perfusion MRI. In order to prove this, a reliable program which can easily isolate healthy from any pathological tissues. Experimental results are shown and discussed.
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