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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weerasinghe, C. Hong Yan |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Electr. Eng., Sydney Univ., NSW, Australia (Weerasinghe, C.) |
| Abstract | Rotational motion artifacts in magnetic resonance (MR) images can have a significantly adverse effect on the diagnostic value of the image. Post-processing techniques for the suppression of such artifacts often involve re-gridding of the acquired k-space data. This technique creates significant data void regions in the corrected k-space. Projection onto convex sets (POCS) proved to be successful in estimating the missing k-space values. However, the available data are often subjected to noise and interpolation errors which cause the k-space constraints to form an ill defined convex set, inconsistent with the spatial constraints. Inconsistent constraints often lead to divergence of POCS from the desired solution, within a finite number of iterations. Here, the authors propose a fuzzy model for representing the available k-space values to avoid such divergence. They also present a set of fuzzy rules, to impose soft k-space constraints. Simulation results indicate that the proposed algorithm avoids divergence, producing a superior quality final image. |
| Starting Page | 640 |
| Ending Page | 643 |
| File Size | 456344 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780351649 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.1998.745497 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Data models Fuzzy sets Vectors Interpolation Image reconstruction Frequency estimation Fourier transforms Optical imaging Application software |
| Content Type | Text |
| Resource Type | Article |
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