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Abstract #0269

Whole-brain BOLD Responses to Graded Hypoxic Challenges at 7T, 9.4T, and 15.2T: Implications for Ultrahigh-Field BOLD-DSC MRI

Thuy Thi Le1,2,3, Sang Han Choi1, Geun Ho Im1, Chan Hee Lee1, Dongkyu Lee4,5, Jacob Schulman6,7, HyungJoon Cho5, Kamil Uludağ1,2,6,7,8, and Seong-Gi Kim1,2,3
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 4Brain Tech Center, Korea Brain Research Institute, Daegu, Korea, Republic of, 5Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 6Krembil Brain Institute, University Health Network, Toronto, ON, Canada, 7Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 8Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada

Synopsis

Keywords: High-Field MRI, Perfusion, Field-dependence, Quantitative images

Motivation: To address quantification challenges in susceptibility-based CBV measurements using BOLD-DSC.

Goal(s): Examine blood and tissue ΔR2* responses to varying blood oxygen saturation changes and magnetic field strengths.

Approach: Whole-brain BOLD responses were evaluated using 5-second hypoxic challenges (0%, 5%, and 10% O2) in anesthetized mice at ultrahigh field strengths of 7T, 9.4T and 15.2T.

Results: CBV values showed dependency on hypoxic stimulus doses and magnetic field strengths, with higher susceptibility yielding greater CBV values. Normalizing regional CBV to white matter values mitigated the variability from susceptibility contrasts within the same field strength.

Impact: We investigated hypoxia-induced blood and tissue ΔR2* responses across varying ΔY levels and field strengths, alongside CBV assessments. This study provides biophysical insights into field-dependent BOLD signals at ultrahigh fields and addresses challenges in quantification of susceptibility-based CBV measurements.

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Keywords