POCS-based reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE): A general algorithm for reducing motion-related artifacts.
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PURPOSE: A projection onto convex sets reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE) is developed to reduce motion-related artifacts, including respiration artifacts in abdominal imaging and aliasing artifacts in interleaved diffusion-weighted imaging. THEORY: Images with reduced artifacts are reconstructed with an iterative projection onto convex sets (POCS) procedure that uses the coil sensitivity profile as a constraint. This method can be applied to data obtained with different pulse sequences and k-space trajectories. In addition, various constraints can be incorporated to stabilize the reconstruction of ill-conditioned matrices. METHODS: The POCSMUSE technique was applied to abdominal fast spin-echo imaging data, and its effectiveness in respiratory-triggered scans was evaluated. The POCSMUSE method was also applied to reduce aliasing artifacts due to shot-to-shot phase variations in interleaved diffusion-weighted imaging data corresponding to different k-space trajectories and matrix condition numbers. RESULTS: Experimental results show that the POCSMUSE technique can effectively reduce motion-related artifacts in data obtained with different pulse sequences, k-space trajectories and contrasts. CONCLUSION: POCSMUSE is a general post-processing algorithm for reduction of motion-related artifacts. It is compatible with different pulse sequences, and can also be used to further reduce residual artifacts in data produced by existing motion artifact reduction methods.
multiplexed sensitivity encoding
projection onto convex sets
Diffusion Magnetic Resonance Imaging
Image Processing, Computer-Assisted
Published Version (Please cite this version)10.1002/mrm.25527
Publication InfoChu, Mei-Lan; Chang, Hing-Chiu; Chung, Hsiao-Wen; Truong, Trong-Kha; Bashir, Mustafa R; & Chen, Nan-kuei (2015). POCS-based reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE): A general algorithm for reducing motion-related artifacts. Magn Reson Med, 74(5). pp. 1336-1348. 10.1002/mrm.25527. Retrieved from https://hdl.handle.net/10161/9460.
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Associate Professor of Radiology
Hepatobiliary and pancreatic imagingLiver cancer (hepatocellular carcinoma)Fatty liver, NAFLD, and NASHChronic liver disease and cirrhosisPancreatic cancerTechnical development in MRIQuantitative imaging
Adjunct Associate Professor in the Department of Radiology
Dr. Chen is a magnetic resonance imaging (MRI) physicist with research interest in fast image acquisition methodology, pulse sequence design, MRI artifact correction, and application of MRI to studies of neurological diseases. He has been developing novel high-resolution imaging protocols and analysis procedures for mapping structural and functional connectivity of brains. More generally, Dr. Chen's research involves the application of MRI in translational contexts. He has been serving as the pr
Associate Professor in Radiology
My research involves the development of innovative magnetic resonance imaging (MRI) coil technologies, image acquisition and reconstruction methods, artifact correction methods, and contrast mechanisms for various MRI applications in the human brain and body, such as diffusion-weighted imaging and functional MRI.
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