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 (CMRO ) Mapping

Overview

Journal Magn Reson Med

Publisher Wiley

Specialty Radiology

Date 2019 Sep 11

PMID 31502723

Citations 22

Authors

Junghun Cho

Shun Zhang

Youngwook Kee

Pascal Spincemaille

Thanh D Nguyen

Simon Hubertus

Ajay Gupta

Yi Wang

Affiliations

Soon will be listed here.

Abstract

Purpose: To 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 (CMRO ) using cluster analysis of time evolution (CAT).

Methods: 3D 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 CMRO were reconstructed with and without CAT, and results were compared using region of interest analysis and a paired t-test.

Results: Simulations 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 CMRO 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.

Conclusion: The cluster analysis of time evolution (CAT) significantly improves the robustness of QQ-based OEF against noise.

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