Phase-based regional oxygen metabolism (PROM) using MRI
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Adalsteinsson_Phase-based.pdf
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Author(s)
Fan, Audrey Peiwen
Benner, Thomas
Bolar, Divya Sanam
Rosen, Bruce R.
Adalsteinsson, Elfar
Date Issued
March 2012
Journal
Magnetic Resonance in Medicine
Publisher
John Wiley & Sons, Inc
Citation
Fan, Audrey P., Thomas Benner, Divya S. Bolar, Bruce R. Rosen, and Elfar Adalsteinsson. “Phase-Based Regional Oxygen Metabolism (PROM) Using MRI.” Magnetic Resonance in Medicine 67, no. 3 (March 2012): 669–678.
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Author's final manuscript
Abstract
Venous oxygen saturation (Yv) in cerebral veins and the cerebral metabolic rate of oxygen (CMRO2) are important indicators for brain function and disease. Although MRI has been used for global measurements of these parameters, currently there is no recognized technique to quantify regional Yv and CMRO2 using noninvasive imaging. This article proposes a technique to quantify CMRO2 from independent MRI estimates of Yv and cerebral blood flow. The approach uses standard gradient-echo and arterial spin labeling acquisitions to make these measurements. Using MR susceptometry on gradient-echo phase images, Yv was quantified for candidate vein segments in gray matter that approximate a long cylinder parallel to the main magnetic field. Local cerebral blood flow for the identified vessel was determined from a corresponding region in the arterial spin labeling perfusion map. Fick's principle of arteriovenous difference was then used to quantify CMRO2 locally around each vessel. Application of this method in young, healthy subjects provided gray matter averages of 59.6% ± 2.3% for Yv, 51.7 ± 6.4 mL/100 g/min for cerebral blood flow, and 158 ± 18 μmol/100 g/min for CMRO2 (mean ± SD, n = 12), which is consistent with values previously reported by positron emission tomography and MRI. Magn Reson Med, 2012.
MIT Department
Massachusetts Institute of Technology. Magnetic Resonance Imaging Group
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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DOI of Published Version
https://doi.org/10.1002/mrm.23050
