• Magn Reson Med · Mar 2020

    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 (CMRO2 ) mapping.

    • Junghun Cho, Shun Zhang, Youngwook Kee, Pascal Spincemaille, Thanh D Nguyen, Simon Hubertus, Ajay Gupta, and Yi Wang.
    • Department of Biomedical Engineering, Cornell University, Ithaca, New York.
    • Magn Reson Med. 2020 Mar 1; 83 (3): 844-857.

    PurposeTo improve the accuracy of QSM plus quantitative blood oxygen level-dependent magnitude (QSM + qBOLD or QQ)-based mapping of the oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2 ) using cluster analysis of time evolution (CAT).Methods3D multi-echo gradient echo and arterial spin labeling images were acquired in 11 healthy subjects and 5 ischemic stroke patients. DWI was also carried out on patients. CAT was developed for analyzing signal evolution over TE. QQ-based OEF and CMRO2 were reconstructed with and without CAT, and results were compared using region of interest analysis and a paired t-test.ResultsSimulations demonstrated that CAT substantially reduced noise error in QQ-based OEF. In healthy subjects, QQ-based OEF appeared less noisy and more uniform with CAT than without CAT; average OEF with and without CAT in cortical gray matter was 32.7 ± 4.0% and 37.9 ± 4.5%, with corresponding CMRO2 of 148.4 ± 23.8 and 171.4 ± 22.4 μmol/100 g/min, respectively. In patients, regions of low OEF were confined within the ischemic lesions defined on DWI when using CAT, which was not observed without CAT.ConclusionThe cluster analysis of time evolution (CAT) significantly improves the robustness of QQ-based OEF against noise.© 2019 International Society for Magnetic Resonance in Medicine.

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