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Activity Number:
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154
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #308551 |
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Title:
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Wavelet Analysis of Super-Frequent fMRI
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Author(s):
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Zibonele Valdez-Jasso*+
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Companies:
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The University of Texas at Dallas
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Address:
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7760 McCallum Blvd Apt 20317, Dallas, TX, 75252,
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Keywords:
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fMRI ; Wavelets ; Denoising ; super-frequent fMRI
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Abstract:
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Developing a technology that is capable of obtaining brain images with high frequency is necessary for understanding neuronal events and many brain diseases. To address this issue, the Advanced Imaging Research Center at UT Southwestern pioneered a super-frequent functional magnetic resonance imaging (fMRI). This technique allows capturing changes in brain activities with 50msc time intervals and preserves the good spatial resolution of a classical FMRI. Conducted experiments revealed that the response signal level is comparable with noise level; and pronounced respiratory and cardiac signals, which contaminate the response signal. A new wavelet-based methodology has been developed and tested to urgently response to this need. Obtained results are discussed including possible decomposition of an fMRI time series into a response signal, nuisance respiratory and cardiac signals and noise.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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