Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting
This paper introduces a motion-corrected, free-breathing dynamic contrast-enhanced (DCE) MRI reconstruction method, termed low-rank plus sparse (L+S) with soft weighting. We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motio...
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Language: | English |
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2025-01-01
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Online Access: | https://ieeexplore.ieee.org/document/10813163/ |
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author | Jichang Zhang Faisal Najeeb Yulin Wang Xinpei Wang Pengfei Xu Hammad Omer Jianjun Zheng Jingfeng Zhang Sue Francis Paul Glover Richard Bowtell Thomas Meersmann Chengbo Wang |
author_facet | Jichang Zhang Faisal Najeeb Yulin Wang Xinpei Wang Pengfei Xu Hammad Omer Jianjun Zheng Jingfeng Zhang Sue Francis Paul Glover Richard Bowtell Thomas Meersmann Chengbo Wang |
author_sort | Jichang Zhang |
collection | DOAJ |
description | This paper introduces a motion-corrected, free-breathing dynamic contrast-enhanced (DCE) MRI reconstruction method, termed low-rank plus sparse (L+S) with soft weighting. We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motion blurring. The optimized fast iterative shrinkage-thresholding algorithm (FISTA) was employed to solve the L+S optimization problem, enabling faster convergence and better image quality. A DCE-MRI computer simulation framework, based on a modified Shepp-Logan model, was used as ground truth to quantify the motion suppression errors. Both simulation and clinical datasets demonstrate that the proposed method provides superior motion correction, higher temporal resolution, and over 5 times faster reconstruction speed than existing motion-corrected GRASP frameworks. |
format | Article |
id | doaj-art-960ee89a47484befb8cd0167bec4b606 |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-960ee89a47484befb8cd0167bec4b6062025-01-16T00:01:48ZengIEEEIEEE Access2169-35362025-01-01131867188110.1109/ACCESS.2024.352220410813163Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft WeightingJichang Zhang0https://orcid.org/0000-0002-3958-5152Faisal Najeeb1https://orcid.org/0000-0002-7709-6915Yulin Wang2Xinpei Wang3Pengfei Xu4https://orcid.org/0000-0002-7095-8535Hammad Omer5Jianjun Zheng6Jingfeng Zhang7Sue Francis8Paul Glover9https://orcid.org/0000-0002-5694-1470Richard Bowtell10https://orcid.org/0000-0001-8656-412XThomas Meersmann11Chengbo Wang12Faculty of Science and Engineering, University of Nottingham, Ningbo, ChinaDepartment of Electrical and Computer Engineering, MIPRG Research Group, COMSATS University Islamabad, Islamabad, PakistanFaculty of Science and Engineering, University of Nottingham, Ningbo, ChinaPhilips Healthcare Technology (China) Company, Suzhou Branch, Suzhou, ChinaHebei Key Laboratory of Intelligent Data Information Processing and Control, Tangshan University, Tangshan, ChinaDepartment of Electrical and Computer Engineering, MIPRG Research Group, COMSATS University Islamabad, Islamabad, PakistanNingbo Clinical Medical Research Center of Imaging Medicine, Ningbo, ChinaNingbo Clinical Medical Research Center of Imaging Medicine, Ningbo, ChinaSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, U.KSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, U.KSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, U.KSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, U.KFaculty of Science and Engineering, University of Nottingham, Ningbo, ChinaThis paper introduces a motion-corrected, free-breathing dynamic contrast-enhanced (DCE) MRI reconstruction method, termed low-rank plus sparse (L+S) with soft weighting. We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motion blurring. The optimized fast iterative shrinkage-thresholding algorithm (FISTA) was employed to solve the L+S optimization problem, enabling faster convergence and better image quality. A DCE-MRI computer simulation framework, based on a modified Shepp-Logan model, was used as ground truth to quantify the motion suppression errors. Both simulation and clinical datasets demonstrate that the proposed method provides superior motion correction, higher temporal resolution, and over 5 times faster reconstruction speed than existing motion-corrected GRASP frameworks.https://ieeexplore.ieee.org/document/10813163/Compressed sensingDCE-MRImotion correctionparallel imagingreconstruction efficiencysoft weighting |
spellingShingle | Jichang Zhang Faisal Najeeb Yulin Wang Xinpei Wang Pengfei Xu Hammad Omer Jianjun Zheng Jingfeng Zhang Sue Francis Paul Glover Richard Bowtell Thomas Meersmann Chengbo Wang Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting IEEE Access Compressed sensing DCE-MRI motion correction parallel imaging reconstruction efficiency soft weighting |
title | Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting |
title_full | Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting |
title_fullStr | Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting |
title_full_unstemmed | Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting |
title_short | Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting |
title_sort | improved motion correction in dynamic contrast enhanced mri using low rank with soft weighting |
topic | Compressed sensing DCE-MRI motion correction parallel imaging reconstruction efficiency soft weighting |
url | https://ieeexplore.ieee.org/document/10813163/ |
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