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

Motivation: The OES method relies on Fourier-transform and does not consider VEASL spatial modulation information, making its effectiveness uncertain if the modulation deviates from a cosine function. Goal(s): Propose a new method, MOGEN, that utilizes modulation information to further enhance SNR and labeling accuracy. Approach: A dictionary containing all possible configurations is constructed first using the spatial modulation and matched it with the ideal encoding scheme to infer the VEASL parameters. We combined simulations and in-vivo experiments to demonstrate the effectiveness of the MOGEN across different scenarios. Results: MOGEN improves SNR, accommodates a broader range of PCASL parameters, and enhances the vessel-decoding robustness. Impact: Our study proposed a novel VEASL encoding method, MOGEN, guided by modulation information which is better suited to various PCASL parameter setting, further enhancing the SNR.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0735
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zhensen Chen, Joseph G. Woods, Yang Ji, Yuriko Suzuki et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cardiac Imaging and Diagnostics
article

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

Zhensen Chen, Joseph G. Woods, Yang Ji, Yuriko Suzuki, Ying‐Hua Chu, Thomas W. Okell, Hongwei Li, He Wang, Ziqi Sun, Yi-Cheng Hsu
article en

Abstract

Motivation: The OES method relies on Fourier-transform and does not consider VEASL spatial modulation information, making its effectiveness uncertain if the modulation deviates from a cosine function. Goal(s): Propose a new method, MOGEN, that utilizes modulation information to further enhance SNR and labeling accuracy. Approach: A dictionary containing all possible configurations is constructed first using the spatial modulation and matched it with the ideal encoding scheme to infer the VEASL parameters. We combined simulations and in-vivo experiments to demonstrate the effectiveness of the MOGEN across different scenarios. Results: MOGEN improves SNR, accommodates a broader range of PCASL parameters, and enhances the vessel-decoding robustness. Impact: Our study proposed a novel VEASL encoding method, MOGEN, guided by modulation information which is better suited to various PCASL parameter setting, further enhancing the SNR.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Cardiac Imaging and Diagnostics
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