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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kumazawa, S. Yamamoto, T. Dobashi, Y. |
| Copyright Year | 2001 |
| Description | Author affiliation: Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan (Kumazawa, S.; Yamamoto, T.; Dobashi, Y.) |
| Abstract | In functional magnetic resonance images (fMRI), to accurately detect functional activation areas, it is necessary to eliminate the physiological movements of subject, which cause false activation areas, from fMRI time series data. This paper proposes a method for estimation of not only rigid-body motion such as gross head motion, but also non-rigid-body motion like pulsatile blood and cerebrospinal fluid (CSF) flow. Our method estimates these types of movements by using optical flow on a pixel-by-pixel basis. We extend generalized gradient schemes in order to compute probability distributions of optical flow. The crux of our method is to compute optical flow on a pixel-by-pixel basis. Although many other methods assume that the subject movement is rigid-body motion, our method does not require this assumption. We demonstrate that the detection of brain activation areas can be improved by motion correction based on our method. |
| Starting Page | 2264 |
| Ending Page | 2267 |
| File Size | 430714 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1017225 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical filters Image motion analysis Optical computing Spatial filters Magnetic resonance imaging Blood Motion estimation Magnetic heads Distributed computing Probability distribution |
| Content Type | Text |
| Resource Type | Article |
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