POCS-based reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE): A general algorithm for reducing motion-related artifacts.


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.





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Publication Info

Chu, Mei-Lan, Hing-Chiu Chang, Hsiao-Wen Chung, Trong-Kha Truong, Mustafa R Bashir and Nan-kuei Chen (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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Trong-Kha Truong

Associate Professor in Radiology

I co-lead the MR Engineering Lab, which is part of the Brain Imaging and Analysis Center at Duke University.

Our research involves the development of novel magnetic resonance imaging (MRI) coil technologies – in particular integrated parallel reception, excitation, and shimming (iPRES) and integrated radio-frequency/wireless (iRFW) coils – to enable imaging, localized B0 shimming, and/or wireless communication with a single coil, thereby improving the image quality and clinical utility of MRI applications such as functional MRI and diffusion-weighted imaging in the human brain and body.

We also develop high-resolution diffusion tensor imaging techniques to investigate the microstructure of the human brain and to detect abnormalities in neurological disorders such as Alzheimer’s disease.


Mustafa Shadi Rifaat Bashir

Professor of Radiology

Hepatobiliary and pancreatic imaging
Liver cancer (hepatocellular carcinoma)
Fatty liver, NAFLD, and NASH
Chronic liver disease and cirrhosis
Pancreatic cancer
Technical development in MRI
Quantitative imaging

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