Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026
· Cape Town, South Africa
463-03-010
ISMRM Abstract
Cerebral metabolism changes after successful reperfusion in ischemic stroke patients
Primary:
Neuro - Stroke and Cerebrovascular Disorders
Secondary:
Contrast Mechanisms - Oxygenation
463-03-010 · Metabolic Parameters in Stroke
· Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row D
Keywords:OxygenationCerebral metabolic rate of oxygenMagnetic Resonance Imaging (MRI)Ischemic Stroke
Accepted
Victoria Mercy Kataike1, Patricia M Desmond 1,2, Christopher Steward1,2, Bruce C Campbell3,4, Felix Ng3,4, Vijay Venkatraman1,2
1Department of Radiology, University of Melbourne, Melbourne, Australia
2Department of Medical Imaging, The Royal Melbourne Hospital, Melbourne, Australia
3Department of Medicine at the Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
4Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia
Presenting Author: Patricia M Desmond
Synopsis
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1. Rodgers ZB, Detre JA, Wehrli FW. MRI-based methods for quantification of the cerebral metabolic rate of oxygen. J Cereb Blood Flow Metab. Jul 2016;36(7):1165-85. doi:10.1177/0271678x16643090 [doi]
2. Biondetti E, Cho J, Lee H. Cerebral oxygen metabolism from MRI susceptibility. Neuroimage. Aug 1 2023;276:120189. doi:10.1016/j.neuroimage.2023.120189 [doi]
3. Cho J, Zhang S, Kee Y, et al. Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level-dependent magnitude (qBOLD)-based oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO(2) ) mapping. Magn Reson Med. Mar 2020;83(3):844-857. doi:10.1002/mrm.27967 [doi]
4. Cho J, Zhang J, Spincemaille P, et al. QQ‐NET – using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping. Magn Reson Med. 2022-03-01 2022;87(3):1583-1594. doi:10.1002/mrm.29057 [doi]
5. 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]
6. Giffard C, Young AR, Kerrouche N, Derlon J-M, Baron J-C. Outcome of Acutely Ischemic Brain Tissue in Prolonged Middle Cerebral Artery Occlusion: A Serial Positron Emission Tomography Investigation in the Baboon. J Cereb Blood Flow Metab. 2004;24(5):495-508. doi:10.1097/00004647-200405000-00003 [doi]
7. Zhang S, Cho J, Nguyen TD, et al. Initial Experience of Challenge-Free MRI-Based Oxygen Extraction Fraction Mapping of Ischemic Stroke at Various Stages: Comparison With Perfusion and Diffusion Mapping. Front Neurosci. 2020;14:535441. doi:10.3389/fnins.2020.535441 [doi]