Evidence map›Paper›PMID 41795084›Full record

ArticleMagnetic resonance in medicine2026

MOdulation-Guided ENcoding (MOGEN) Scheme for Vessel-Encoded Arterial Spin Labeling.

Hongwei Li, Thomas W Okell, Joseph G Woods, Yang Ji, Yuriko Suzuki, Tiansheng Qian, Yujun Liao, Jian Wang, Bin Xu, Ziqi Sun and 4 more

Abstract read
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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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Hongwei LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0003-1591-7674
Thomas W OkellOxford Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Joseph G WoodsOxford Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-0329-824X
Yang JiDepartment of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China, Hefei, China.
Yuriko SuzukiOxford Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-4851-7872
Tiansheng QianDepartment of Neurosurgery, Fudan University Huashan Hospital, Shanghai, China.
Yujun LiaoDepartment of Neurosurgery, Fudan University Huashan Hospital, Shanghai, China.
Jian WangDepartment of Neurosurgery, The Second People's Hospital of Changzhou, The Third Affiliated Hospital of Nanjing Medical University, Changzhou Medical Center, Changzhou, China.
Bin XuDepartment of Neurosurgery, Fudan University Huashan Hospital, Shanghai, China.
Ziqi SunInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Ying-Hua ChuMR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China.
Yi-Cheng HsuMR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China.
He WangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Zhensen ChenInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.

Funding

National Key Research and Development Program of China 2023YFF1204801National Natural Science Foundation of China 82302156Natural Science Foundation of Shanghai 22ZR1403900Wellcome Trust 203139/Z/16/ZWellcome Trust 220204/Z/20/Z
6 · The paper itself

Abstract

purposeVessel-encoded arterial spin labeling (VEASL) enables simultaneous, non-contrast imaging of multiple vascular territories that is useful for differential diagnosis and treatment monitoring of cerebrovascular diseases. However, the existing encoding methods are signal-to-noise ratio (SNR) inefficient.

methodsWe developed a MOdulation-Guided ENcoding (MOGEN) scheme that directly exploits the inversion spatial modulation profile to obtain SNR-efficient encoding matrix. Simulations, phantom tests, and healthy volunteer scans were performed to demonstrate its feasibility in multiple application scenarios.

resultsSimulation studies demonstrated that MOGEN achieves significantly higher theoretical SNR efficiency than previous methods for both four- and six-artery configurations. In healthy volunteers, MOGEN improved in vivo SNR by approximately 15% and provided more robust vessel decoding, particularly when the spatial modulation deviated from a cosine profile. In patients with Moyamoya disease, MOGEN enabled reliable visualization of collateral pathways even when scan time was reduced to ˜5 min for six arteries. Furthermore, by considering vessel size with multi-voxel vessel representation, MOGEN enhanced single-artery selectivity in vessel-encoded angiography. We also demonstrated that a straightforward approach of off-resonance correction for VEASL at ultra-high field was feasible by using MOGEN.

conclusionMOGEN offered several benefits for VEASL, including high SNR efficiency, flexible spatial modulation and PCASL parameters selection, vessel size consideration, and straightforward off-resonance correction, thereby substantially improving robustness and usability of VEASL across various applications.

Indexed as

ArteriesImage Processing, Computer-AssistedMagnetic Resonance AngiographyMoyamoya DiseaseSpin LabelsAdultAlgorithmsBrainCerebral ArteriesComputer SimulationFemaleHealthy VolunteersHumansMalePhantoms, ImagingSignal-To-Noise RatioSpin Labelsencoding schemeSNR efficiencyvascular territoryvessel‐encoded arterial spin labeling (VEASL)vessel‐selective

Identifiers

PMID41795084
PMCPMC7618936

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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.