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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Bai Alexander, D.C. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. Coll. London, London (Yu Bai; Alexander, D.C.) |
| Abstract | In diffusion tensor MRI, a number of diffusion-weighted images with different diffusion-weighting gradient directions are acquired during scanning. The tensor calculation assumes that each voxel corresponds to the same anatomical location in all the measurements. Movements and distortions violate this assumption and typically the images are realigned before model fitting. The traditional method uses a non-diffusion- weighted image as the reference for registration, but the differences between diffusion-weighted images and the non- diffusion weighted reference image can cause mismatching to occur during registration, even using metrics like the mutual information (MI) that accounts for non-linear contrast differences. We propose alternative model-based methods to improve motion correction and avoid the errors that the traditional method introduces. We demonstrate quantitative improvements using the new approaches on a full data with slight, but typical, movement during acquisition. |
| Starting Page | 947 |
| Ending Page | 950 |
| File Size | 330405 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424420025 |
| DOI | 10.1109/ISBI.2008.4541154 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Tensile stress Diffusion tensor imaging Nonlinear distortion Distortion measurement Mutual information Error correction Magnetic materials Protocols Head registration Diffusion MRI motion correction model-based |
| Content Type | Text |
| Resource Type | Article |
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