Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-06-004 ISMRM Abstract

Hemodynamics-based Mapping of Oxygen Extraction Fraction (hOEF) from Multi-Echo Gradient-Echo Data using Deep Neural Networks

Primary: Contrast Mechanisms - Oxygenation
Secondary: Neuro - Blood Vessels
567-06-004 · Novel Contrast Mechanisms II · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row H
Keywords: Vascular Oxygen extraction fraction Quantitative Susceptibility Mapping (QSM) Hemodynamics Cerebral blood flow (CBF)
Accepted
Mert Sisman1,2, Hangwei Zhuang3,4, Junghun Cho5, Kohsuke Kudo6,7, Thanh D Nguyen4, Pascal Spincemaille 4, Yi Wang3,4
1Electrical & Computer Engineering, Cornell University, Ithaca, United States of America
2Department of Radiology, Weill Cornell Medicine, Cornell University, New York, United States of America
3Biomedical Engineering, Cornell University, Ithaca, United States of America
4Department of Radiology, Weill Cornell Medicine, New York, United States of America
5Biomedical Engineering, George Washington University, Washington, United States of America
6Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sappro, Japan
7Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sappro, Japan
Presenting Author: Alexandra G Roberts

Synopsis

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References

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6. Zhang J, Zhou D, Nguyen TD, Spincemaille P, Gupta A, Wang Y. Cerebral metabolic rate of oxygen (CMRO2) mapping with hyperventilation challenge using quantitative susceptibility mapping (QSM). Magn Reson Med. May 2017;77(5):1762-1773. doi:10.1002/mrm.26253 [doi]
7. Cho J, Kee Y, Spincemaille P, et al. Cerebral metabolic rate of oxygen (CMRO2 ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD). Magn Reson Med. Oct 2018;80(4):1595-1604. doi:10.1002/mrm.27135 [doi]
8. Şişman M, Roberts AG, Zhuang H, et al. Simulating Brain Gradient-Echo Magnetic Resonance Images through Microstructural Modeling. presented at: 13th International Workshop on Innovative Simulation for Healthcare; 2024; Tenerife, Spain.
9. Şişman M, Zhuang H, Roberts AG, et al. SynthOEF: Oxygen Extraction Fraction (OEF) Mapping from multi Gradient-Echo Data using a U-Net trained with Synthetically Generated Data. presented at: ISMRM & SMRT Annual Meeting & Exhibition; 2025; Honolulu, Hawaiʻi, USA.
10. Oh G, Bae H, Ahn HS, Park SH, Moon WJ, Ye JC. Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization. Med Image Anal. Jul 2022;79:102477. doi:10.1016/j.media.2022.102477 [doi]
11. Cho J, Spincemaille P, Nguyen TD, Gupta A, Wang Y. Temporal clustering, tissue composition, and total variation for mapping oxygen extraction fraction using QSM and quantitative BOLD. Magn Reson Med. Nov 2021;86(5):2635-2646. doi:10.1002/mrm.28875 [doi]
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13. Kudo K, Liu T, Murakami T, et al. Oxygen extraction fraction measurement using quantitative susceptibility mapping: Comparison with positron emission tomography. J Cereb Blood Flow Metab. Aug 2016;36(8):1424-33. doi:10.1177/0271678X15606713 [doi]
14. Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage. 2012;59(3):2560-2568.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/567-06-004