Evidence map›Paper›PMID 42216654›Full record

ArticleMagnetic resonance in medicine2026

Collaborative Reconstruction of PROPELLER-EPI Data Using POCSMUSE (CORPUSE) for High-Fidelity Diffusion MRI.

Hailin Xiong, Liyuan Liang, Shihui Chen, Yi Li, Chenglang Yuan, Tianbaige Liu, Xiaorui Xu, Hing-Chiu Chang

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Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Hailin XiongDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Liyuan LiangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Shihui ChenDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Yi LiDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Chenglang YuanDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Tianbaige LiuDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Xiaorui XuDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Hing-Chiu ChangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0001-8634-328X

Funding

Innovation and Technology Commission (ITC), The Government of Hong Kong Special Administrative RegionResearch Grants Council (RGC) of Hong Kong ECS24213522Research Grants Council (RGC) of Hong Kong GRF14206723Research Grants Council (RGC) of Hong Kong GRF14213225Research Grants Council (RGC) of Hong Kong GRF17106820Research Grants Council (RGC) of Hong Kong GRF17125321
6 · The paper itself

Abstract

purposeTo develop a reconstruction framework for DW-PROPELLER-EPI that improves image quality and SNR efficiency under per-blade acceleration while minimizing EPI-related artifacts, enabling high-resolution diffusion-tensor imaging (DTI) with fewer blades.

methodsWe propose CORPUSE, a joint reconstruction framework adapted from POCSMUSE and tailored for multiblade DW-PROPELLER-EPI. The method integrates distortion-correction operators into a joint-blade reconstruction model and exploits the inherent redundancy of multiblade sampling. Leveraging self-extracted composite 2D phase errors and blade-specific field maps as physics-based constraints, CORPUSE improves reconstruction performance. By using wider blades with higher per-blade acceleration, the framework increases scan efficiency while preserving image quality and geometric fidelity. The framework was evaluated in healthy volunteers on a 1.5T MRI scanner across varying numbers of blades and with two PROPELLER-EPI trajectories: long-axis (LAP) and short-axis (SAP), under different per-blade accelerations and scan conditions.

resultsIn vivo experiments showed that CORPUSE improved image sharpness, geometric fidelity, and overall reconstruction quality compared with conventional PROPELLER-EPI reconstruction. These improvements enabled higher per-blade acceleration and wider blades without compromising image quality, thereby supporting more flexible and efficient reconstruction for LAP and SAP trajectory. Additionally, CORPUSE demonstrated greater motion resilience than multishot EPI based on multiplexed sensitivity encoding (MUSE), preserving structural detail even under subtle motion conditions.

conclusionThe CORPUSE framework enables high-resolution, high-quality DTI with fewer blades, improving the practicality of DW-PROPELLER-EPI. By maintaining SNR and geometric accuracy under high per-blade acceleration, it offers a robust and efficient alternative to other multishot diffusion imaging approaches.

Indexed as

BrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingEcho-Planar ImagingImage Processing, Computer-AssistedAlgorithmsArtifactsHealthy VolunteersHumansPhantoms, ImagingSignal-To-Noise RatioDTImultishot DWINyquist ghost correctionoff‐resonance correctionPROPELLER‐EPI

Identifiers

PMID42216654
PMCPMC13421002

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.