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生物医学的图像处理,计算和显示


ISSN 在线: 2162-3511

Archives: Volume 1, 2012 to Volume 2, 2013

生物医学的图像处理,计算和显示

DOI: 10.1615/VisualizImageProcComputatBiomed.2013006007

Brain Fractal Blood-Oxygen Level Dependent (BOLD) Signals: The Effect of MRI Acquisition Parameters on Temporal Fractal Dimension (FD) Stability

Mohammed A. Warsi
School of Biomedical Engineering, McMaster University, Hamilton; Department of Psychiatry and Behavioural Neuroscience, Hamilton, Ontario, Canada
Alexander M. Weber
School of Biomedical Engineering, McMaster University; Department of Psychiatry and Behavioural Neuroscience; Brain-Body Institute, St. Joseph's Healthcare, Hamilton, Ontario, Canada
Michael D. Noseworthy
McMaster School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada; Imaging Research Centre, St. Joseph's Healthcare, Hamilton, Ontario, Canada; Department of Radiology, McMaster University, Hamilton, Ontario, Canada; Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada

ABSTRACT

Fractal analysis of the temporal patterns in functional magnetic resonance imaging (fMRI) brain data has recently gained momentum in assessing diseased and pharmacokinetically altered brain. However, there is no agreed standard method of acquisition and analysis. Therefore, we examined the fractal dimension (FD) of the brain's blood oxygen level dependent (BOLD) signal over time, with varying time points, MRI k-space filling techniques, repetition times (TR), and scan lengths. Furthermore, fractal dimension was determined with two different approaches: relative dispersion (FDRD), and power spectrum (FDPS) techniques. At a reduced number of time points, FDRD is resistant to differing TR. FDPS is time-point invariant at a low TR (250 ms). With constant scan times, FDPS is the least variable. Our results show that some constraints to FD measurement in the brain require a certain amount of consistency in technique when comparing multiple scans. But within these constraints, FD can provide a reliable method of examining the brain's resting state BOLD signal.


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