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This BIDS-compliant dataset includes high-resolution structural data, diffusion, multi-model perfusion sequences, and cerebral blood flow (CBF) maps from [¹⁵O]H₂O PET in 120 participants (66 healthy controls and 54 Moyamoya patients). Repeated in-session or separate-session ASL and PET acquisitions were also collected and shared in this dataset. All participants received the vasodilator acetazolamide during each session to measure cerebrovascular reactivity.","descriptionType":"Abstract"},{"description":"The dataset was acquired using standardized protocols on a 3T GE PET/MRI scanner. Data harmonization was performed using the Heudiconv package (HEDVersion: 8.0.0) and was validated for quality and BIDS compatibility using the online validator (bids-standard.github.io/bids-validator/), confirming full compliance with BIDS specifications. 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Quantitative phase-contrast (PC) PET CBF maps that enable global brain blood flow are available for 40 HC(61%) and 17 MM(31.5%).\n\n\n\n\n\nFor studies with two paired pre-acetazolamide PET and ASL acquisitions, the data is labeled such that \"run-1\" and \"run-2\" refer to two pre-acetazolamide imaging, while \"run-3\" always refers to post-acetazolamide imaging. If only one paired pre-acetazolamide PET and ASL acquisition, \"run-2\" will be missing from that subject’s folder. For HC who underwent two separate sessions, the data were organized into 2 folders and were labeled as ‘ses-baseline’ and ‘ses-followup.’\n\n\n\n\n\nMore detailed information on this dataset and the Stanford group’s initial performance on this dataset can be found in the references listed below. We would like to thank the team involved with acquiring, processing, and preparing the data, and for checking it for potential PHI: Bin Jiang, Moss Zhao, Yosuke Ishii, Audrey Fan, Mehdi Khaligi, Liberty R Walton, Stephanie Bogdan, Yongkai Liu, DongHoon Kim, Brandon Christopher Ho, Gary Steinberg, and Greg Zaharchuk.\n\n\n\nReferences:\n\n\n\n1\\. Zhao MY, Armindo RD, Gauden AJ, Yim B, Tong E, Moseley M, Steinberg GK, Zaharchuk G. Revascularization improves vascular hemodynamics− a study assessing cerebrovascular reserve and transit time in Moyamoya patients using MRI. Journal of Cerebral Blood Flow \u0026 Metabolism. 2023 Nov;43(2\\_suppl):138-51.\n\n2\\. Fan AP, Khalighi MM, Guo J, Ishii Y, Rosenberg J, Wardak M, Park JH, Shen B, Holley D, Gandhi H, Haywood T. Identifying hypoperfusion in moyamoya disease with arterial spin labeling and an [15O]-water positron emission tomography/magnetic resonance imaging normative database. Stroke. 2019 Feb;50(2):373-80.\n\n3\\. Hussein R, Shin D, Zhao MY, Guo J, Davidzon G, Steinberg G, Moseley M, Zaharchuk G. Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks. Medical image analysis. 2024 Apr 1;93:103072.\n\n4\\. Ishii Y, Thamm T, Guo J, Khalighi MM, Wardak M, Holley D, Gandhi H, Park JH, Shen B, Steinberg GK, Chin FT. Simultaneous phase‐contrast MRI and PET for noninvasive quantification of cerebral blood flow and reactivity in healthy subjects and patients with cerebrovascular disease. Journal of Magnetic Resonance Imaging. 2020 Jan;51(1):183-94.\n\n5\\. Khalighi MM, Deller TW, Fan AP, Gulaka PK, Shen B, Singh P, Park JH, Chin FT, Zaharchuk G. Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping. 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The dataset includes 66 HC and 54 pre-operative MM patients. Among HC, 35 (53%) underwent two within-session pre-acetazolamide ASL and [¹⁵O]H₂O PET to assess reproducibility, and 22 (33%) underwent two sessions (baseline and follow-up) separated by approximately one week to evaluate between-session reproducibility. In the MM group, 35 participants (64.8%) underwent two pre-acetazolamide ASL and PET acquisitions within a single session. No follow-up studies were performed in this group, as they proceeded to surgery afterward. Post-acetazolamide DSC imaging was acquired in 61 HC (92.4%) and 42 MM subjects (78%). Quantitative phase-contrast (PC) PET CBF maps that enable global brain blood flow are available for 40 HC(61%) and 17 MM(31.5%).





For studies with two paired pre-acetazolamide PET and ASL acquisitions, the data is labeled such that "run-1" and "run-2" refer to two pre-acetazolamide imaging, while "run-3" always refers to post-acetazolamide imaging. If only one paired pre-acetazolamide PET and ASL acquisition, "run-2" will be missing from that subject’s folder. For HC who underwent two separate sessions, the data were organized into 2 folders and were labeled as ‘ses-baseline’ and ‘ses-followup.’





More detailed information on this dataset and the Stanford group’s initial performance on this dataset can be found in the references listed below. We would like to thank the team involved with acquiring, processing, and preparing the data, and for checking it for potential PHI: Bin Jiang, Moss Zhao, Yosuke Ishii, Audrey Fan, Mehdi Khaligi, Liberty R Walton, Stephanie Bogdan, Yongkai Liu, DongHoon Kim, Brandon Christopher Ho, Gary Steinberg, and Greg Zaharchuk.



References:



1\. Zhao MY, Armindo RD, Gauden AJ, Yim B, Tong E, Moseley M, Steinberg GK, Zaharchuk G. Revascularization improves vascular hemodynamics− a study assessing cerebrovascular reserve and transit time in Moyamoya patients using MRI. Journal of Cerebral Blood Flow &amp; Metabolism. 2023 Nov;43(2\_suppl):138-51.

2\. Fan AP, Khalighi MM, Guo J, Ishii Y, Rosenberg J, Wardak M, Park JH, Shen B, Holley D, Gandhi H, Haywood T. Identifying hypoperfusion in moyamoya disease with arterial spin labeling and an [15O]-water positron emission tomography/magnetic resonance imaging normative database. Stroke. 2019 Feb;50(2):373-80.

3\. Hussein R, Shin D, Zhao MY, Guo J, Davidzon G, Steinberg G, Moseley M, Zaharchuk G. Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks. Medical image analysis. 2024 Apr 1;93:103072.

4\. Ishii Y, Thamm T, Guo J, Khalighi MM, Wardak M, Holley D, Gandhi H, Park JH, Shen B, Steinberg GK, Chin FT. Simultaneous phase‐contrast MRI and PET for noninvasive quantification of cerebral blood flow and reactivity in healthy subjects and patients with cerebrovascular disease. Journal of Magnetic Resonance Imaging. 2020 Jan;51(1):183-94.

5\. Khalighi MM, Deller TW, Fan AP, Gulaka PK, Shen B, Singh P, Park JH, Chin FT, Zaharchuk G. Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping. Journal of Cerebral Blood Flow &amp; Metabolism. 2018 Jan;38(1):126-35.



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