Jingwei Zhang1,2, Dong Zhou2, Thanh D Nguyen2, Pascal Spincemaille2, Ajay Gupta2, Yi Wang1,2. 1. Department of Biomedical Engineering, Cornell University, 301 Weill Hall, Ithaca, New York, USA. 2. Department of Radiology, Weill Cornell Medical College, 515 East 71st St, Suite 104, New York, USA.
Abstract
PURPOSE: Our objective was to demonstrate the feasibility of using hyperventilation as an efficient vasoconstrictive challenge and prior knowledge as denoising constraints for cerebral metabolic rate of oxygen (CMRO2 ) mapping based upon quantitative susceptibility mapping (QSM). METHODS: Three-dimensional (3D) multi-echo gradient echo and arterial spin labeling imaging were performed to calculate QSM and perfusion maps before and after a hyperventilation challenge in 11 healthy subjects. For comparison, this was repeated using a caffeine challenge. Whole-brain CMRO2 and oxygen extraction fraction (OEF) maps were computed using constrained optimization. Hyperventilation scans were repeated to measure reproducibility. Regional agreement of CMRO2 and OEF maps was analyzed within the cortical gray matter (CGM) using t-test and Bland-Altman plots. RESULTS: Hyperventilation challenge eliminates the 30-min waiting time needed for caffeine to exert its vasoconstrictive effects. Mean CMRO2 (in µmol/100g/min) obtained in CGM using the caffeine and repeated hyperventilation scans were 149 ± 16, 153 ± 19, and 150 ± 20, respectively. This corresponded to an OEF of 33.6 ± 3.4%, 32.3 ± 3.2%, and 34.1 ± 3.8% at baseline state and 39.8 ± 4.8%, 43.6 ± 6.2%, and 42.8 ± 6.8% at challenged state, respectively. Hyperventilation scans produced a good agreement of CMRO2 and OEF values. CONCLUSIONS: Hyperventilation is a feasible, reproducible, and efficient vasoconstrictive challenge for QSM-based quantitative CMRO2 mapping. Magn Reson Med 77:1762-1773, 2017.
PURPOSE: Our objective was to demonstrate the feasibility of using hyperventilation as an efficient vasoconstrictive challenge and prior knowledge as denoising constraints for cerebral metabolic rate of oxygen (CMRO2 ) mapping based upon quantitative susceptibility mapping (QSM). METHODS: Three-dimensional (3D) multi-echo gradient echo and arterial spin labeling imaging were performed to calculate QSM and perfusion maps before and after a hyperventilation challenge in 11 healthy subjects. For comparison, this was repeated using a caffeine challenge. Whole-brain CMRO2 and oxygen extraction fraction (OEF) maps were computed using constrained optimization. Hyperventilation scans were repeated to measure reproducibility. Regional agreement of CMRO2 and OEF maps was analyzed within the cortical gray matter (CGM) using t-test and Bland-Altman plots. RESULTS: Hyperventilation challenge eliminates the 30-min waiting time needed for caffeine to exert its vasoconstrictive effects. Mean CMRO2 (in µmol/100g/min) obtained in CGM using the caffeine and repeated hyperventilation scans were 149 ± 16, 153 ± 19, and 150 ± 20, respectively. This corresponded to an OEF of 33.6 ± 3.4%, 32.3 ± 3.2%, and 34.1 ± 3.8% at baseline state and 39.8 ± 4.8%, 43.6 ± 6.2%, and 42.8 ± 6.8% at challenged state, respectively. Hyperventilation scans produced a good agreement of CMRO2 and OEF values. CONCLUSIONS: Hyperventilation is a feasible, reproducible, and efficient vasoconstrictive challenge for QSM-based quantitative CMRO2 mapping. Magn Reson Med 77:1762-1773, 2017.
Authors: Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince Journal: J Magn Reson Imaging Date: 2017-03-10 Impact factor: 4.813
Authors: Yan Wen; Thanh D Nguyen; Zhe Liu; Pascal Spincemaille; Dong Zhou; Alexey Dimov; Youngwook Kee; Kofi Deh; Jiwon Kim; Jonathan W Weinsaft; Yi Wang Journal: Magn Reson Med Date: 2017-06-26 Impact factor: 4.668
Authors: Erin K Englund; Maria A Fernández-Seara; Ana E Rodríguez-Soto; Hyunyeol Lee; Zachary B Rodgers; Marta Vidorreta; John A Detre; Felix W Wehrli Journal: J Cereb Blood Flow Metab Date: 2019-08-08 Impact factor: 6.200