血氧水平依赖功能磁共振成像的多重分形分析

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI:10.1109/ISSPIT.2011.6151572

Catarina Runa Miranda, Filipe Soares, I. Sousa, F. Janela, M. Secca

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引用次数: 1

摘要

本文的目的是提出一种用于血氧水平依赖(BOLD)功能磁共振成像(fMRI)的多重分形去趋势波动分析(MF-DFA)的多重分形分析方法。fMRI信号具有1/f功率谱，因此其结构具有自相似性和长记忆性，通常可以在不了解血流动力学模型的情况下通过不同的分形分析方法成功分析。因此，为了验证MF-DFA方法的激活检测效果，我们对采用一般线性模型(General Linear Model, GLM)和独立分量分析(Independent Component Analysis, ICA)获得的图像进行了对比研究，并对结果进行了Receiver Operating Characteristic (ROC)分析，通过判别能力进行了评价。

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Multifractal analysis of blood oxygen level dependent functional magnetic resonance imaging

The aim of this work is to propose a multifractal analysis method for Multifractal Detrended Fluctuation analysis (MF-DFA) of Blood Oxygen Level Dependent (BOLD) functional Magnetic Resonance Imaging (fMRI). The fMRI signals exhibit a 1/f power spectrum, hence their structure has self-similarity and long memory, being usually successfully analyzed by different fractal analysis methods without a previous knowledge of haemodynamic models. Therefore, to validate activation detection using the MF-DFA method, a comparison study between images obtained using General Linear Model (GLM) and Independent Component Analysis (ICA) was conducted and evaluated by discrimination power, applying Receiver Operating Characteristic (ROC) analysis to the results.

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2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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