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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eung-Kyeu Kim Young-Jae Lee |
| Copyright Year | 2007 |
| Description | Author affiliation: Div. of Inf. Commun. & Comput. Eng., Hanbat Nat. Univ. (Eung-Kyeu Kim) |
| Abstract | In this study, an improved post-processing technique for canceling MRI artifact due to unknown respiratory motion in the imaging plane is presented. Respiratory motion is modeled by a two dimensional linear expanding-shrinking movement. Assuming that the body tissues are incompressible fluid like materials, the proton density per unit volume of the imaging object is kept constant. According to the applied model, respiratory motion imposes phase error, non-uniform sampling and amplitude modulation distortions on the acquired MR data. When the motion parameters are known or can be estimated, a reconstruction algorithm based on bilinear superposition method was used to cancel the MRI artifact. In the case of motion parameters are unknown, first, the spectrum shift method is applied to find the respiratory fluctuation function, x directional expansion coefficient and x directional expansion center. Next, y directional expansion coefficient and y directional expansion center are estimated by using the minimum energy method. Finally, the validity of this proposed method is shown to be effective by using the simulated motion images. |
| Starting Page | 389 |
| Ending Page | 394 |
| File Size | 6964200 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788955191318 |
| ISSN | 17389445 |
| DOI | 10.1109/ICACT.2007.358378 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-02-12 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | ETRI, NIA |
| Subject Keyword | Magnetic resonance imaging Biomedical imaging High-resolution imaging Data acquisition Motion estimation Protons Medical diagnostic imaging Humans Signal to noise ratio Gastrointestinal tract Artifact cancellation MRI Non uniform sampling Spectrum shift |
| Content Type | Text |
| Resource Type | Article |
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