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Content Provider | IEEE Xplore Digital Library |
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Author | Tung-Ying Lee Hong-Ren Su Shang-Hong Lai Ti-chiun Chang |
Copyright Year | 2009 |
Description | Author affiliation: Corp. Res., Siemens, Princeton, NJ, USA (Ti-chiun Chang) || Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Tung-Ying Lee; Hong-Ren Su; Shang-Hong Lai) |
Abstract | In two-dimensional Fourier transform magnetic resonance imaging (2DFT-MRI), patient/object motion during the image acquisition results in ghosting and blurring. These motion artifacts are commonly considered as a major limitation in the MRI community. To correct these artifacts without resorting to additional navigator echoes, most existing methods perform image quality measure to estimate motion; but they may easily fail when the motion is large. Viewed as a blind image restoration problem where the motion point spread function (PSF) is unknown, state-of-the-art restoration algorithms can not be easily applied because they cannot handle a complex PSF kernel that has the same size as the image. To overcome these challenges, we propose a novel approach that exploits the image structure to segment the kernel into several fragments. Based on this kernel representation, determining a kernel fragment can be formulated as a binary optimization problem, where each binary variable represents whether a segment in MR signals is corrupted by a certain motion or not. We establish a graphical model for these variables and estimate the kernel by minimizing an energy functional associated with the model. Experimental results show that the proposed method can provide satisfactory compensation of motion artifacts even when large motions are involved in the MR images. |
Starting Page | 2192 |
Ending Page | 2199 |
File Size | 1376361 |
Page Count | 8 |
File Format | |
ISBN | 9781424439928 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2009.5206615 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-20 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Magnetic resonance imaging Kernel Image restoration Image segmentation Fourier transforms Navigation Performance evaluation Image quality Motion measurement Motion estimation |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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