Junghun Cho1, Pascal Spincemaille1, Thanh D Nguyen1, Ajay Gupta1, Yi Wang1,2. 1. Department of Radiology, Weill Cornell Medical College, New York, New York, USA. 2. Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
Abstract
PURPOSE: To improve the accuracy of quantitative susceptibility mapping plus quantitative blood oxygen level-dependent magnitude (QSM+qBOLD or QQ) based mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2 ) using temporal clustering, tissue composition, and total variation (CCTV). METHODS: Three-dimensional multi-echo gradient echo and arterial spin labeling images were acquired from 11 healthy subjects and 33 ischemic stroke patients. Diffusion-weighted imaging (DWI) was also obtained from patients. The CCTV mapping was developed for incorporating tissue-type information into clustering of the previous cluster analysis of time evolution (CAT) and applying total variation (TV). The QQ-based OEF and CMRO2 were reconstructed with CAT, CAT+TV (CATV), and the proposed CCTV, and results were compared using region-of-interest analysis, Kruskal-Wallis test, and post hoc Wilcoxson rank sum test. RESULTS: In simulation, CCTV provided more accurate and precise OEF than CAT or CATV. In healthy subjects, QQ-based OEF was less noisy and more uniform with CCTV than CAT. In subacute stroke patients, OEF with CCTV had a greater contrast-to-noise ratio between DWI-defined lesions and the unaffected contralateral side than with CAT or CATV: 1.9 ± 1.3 versus 1.1 ± 0.7 (P = .01) versus 0.7 ± 0.5 (P < .001). CONCLUSION: The CCTV mapping significantly improves the robustness of QQ-based OEF against noise.
PURPOSE: To improve the accuracy of quantitative susceptibility mapping plus quantitative blood oxygen level-dependent magnitude (QSM+qBOLD or QQ) based mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2 ) using temporal clustering, tissue composition, and total variation (CCTV). METHODS: Three-dimensional multi-echo gradient echo and arterial spin labeling images were acquired from 11 healthy subjects and 33 ischemic strokepatients. Diffusion-weighted imaging (DWI) was also obtained from patients. The CCTV mapping was developed for incorporating tissue-type information into clustering of the previous cluster analysis of time evolution (CAT) and applying total variation (TV). The QQ-based OEF and CMRO2 were reconstructed with CAT, CAT+TV (CATV), and the proposed CCTV, and results were compared using region-of-interest analysis, Kruskal-Wallis test, and post hoc Wilcoxson rank sum test. RESULTS: In simulation, CCTV provided more accurate and precise OEF than CAT or CATV. In healthy subjects, QQ-based OEF was less noisy and more uniform with CCTV than CAT. In subacute strokepatients, OEF with CCTV had a greater contrast-to-noise ratio between DWI-defined lesions and the unaffected contralateral side than with CAT or CATV: 1.9 ± 1.3 versus 1.1 ± 0.7 (P = .01) versus 0.7 ± 0.5 (P < .001). CONCLUSION: The CCTV mapping significantly improves the robustness of QQ-based OEF against noise.
Authors: Junghun Cho; Thanh D Nguyen; Weiyuan Huang; Elizabeth M Sweeney; Xianfu Luo; Ilhami Kovanlikaya; Shun Zhang; Kelly M Gillen; Pascal Spincemaille; Ajay Gupta; Susan A Gauthier; Yi Wang Journal: J Cereb Blood Flow Metab Date: 2021-09-24 Impact factor: 6.960
Authors: Gloria C Chiang; Junghun Cho; Jonathan Dyke; Hang Zhang; Qihao Zhang; Michael Tokov; Thanh Nguyen; Ilhami Kovanlikaya; Michael Amoashiy; Mony de Leon; Yi Wang Journal: J Neuroimaging Date: 2022-03-16 Impact factor: 2.324
Authors: Junghun Cho; Jinwei Zhang; Pascal Spincemaille; Hang Zhang; Simon Hubertus; Yan Wen; Ramin Jafari; Shun Zhang; Thanh D Nguyen; Alexey V Dimov; Ajay Gupta; Yi Wang Journal: Magn Reson Med Date: 2021-10-31 Impact factor: 3.737