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Proceedings Paper

Early postnatal myelin content estimate of white matter via T1w/T2w ratio
Author(s): Kevin Lee; Marie Cherel; Francois Budin; John Gilmore; Kirsten Zaldarriaga Consing; Jerod Rasmussen; Pathik D. Wadhwa; Sonja Entringer; Matthew F. Glasser; David C. Van Essen; Claudia Buss; Martin Styner
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Paper Abstract

To develop and evaluate a novel processing framework for the relative quantification of myelin content in cerebral white matter (WM) regions from brain MRI data via a computed ratio of T1 to T2 weighted intensity values. We employed high resolution (1mm3 isotropic) T1 and T2 weighted MRI from 46 (28 male, 18 female) neonate subjects (typically developing controls) scanned on a Siemens Tim Trio 3T at UC Irvine. We developed a novel, yet relatively straightforward image processing framework for WM myelin content estimation based on earlier work by Glasser, et al. We first co-register the structural MRI data to correct for motion. Then, background areas are masked out via a joint T1w and T2 foreground mask computed. Raw T1w/T2w-ratios images are computed next. For purpose of calibration across subjects, we first coarsely segment the fat-rich facial regions via an atlas co-registration. Linear intensity rescaling based on median T1w/T2w-ratio values in those facial regions yields calibrated T1w/T2wratio images. Mean values in lobar regions are evaluated using standard statistical analysis to investigate their interaction with age at scan. Several lobes have strongly positive significant interactions of age at scan with the computed T1w/T2w-ratio. Most regions do not show sex effects. A few regions show no measurable effects of change in myelin content change within the first few weeks of postnatal development, such as cingulate and CC areas, which we attribute to sample size and measurement variability. We developed and evaluated a novel way to estimate white matter myelin content for use in studies of brain white matter development.

Paper Details

Date Published: 17 March 2015
PDF: 7 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94171R (17 March 2015); doi: 10.1117/12.2082198
Show Author Affiliations
Kevin Lee, The Univ. of North Carolina at Chapel Hill (United States)
Marie Cherel, The Univ. of North Carolina at Chapel Hill (United States)
Francois Budin, The Univ. of North Carolina at Chapel Hill (United States)
John Gilmore, The Univ. of North Carolina at Chapel Hill (United States)
Kirsten Zaldarriaga Consing, The Univ. of North Carolina at Chapel Hill (United States)
Jerod Rasmussen, Univ. of California, Irvine (United States)
Pathik D. Wadhwa, Univ. of California, Irvine (United States)
Sonja Entringer, Univ. of California, Irvine (United States)
Charité Univ. Berlin (Germany)
Matthew F. Glasser, Washington Univ. School of Medicine in St. Louis (United States)
David C. Van Essen, Washington Univ. in St. Louis (United States)
Claudia Buss, Univ. of California, Irvine (United States)
Charité Univ. Berlin (Germany)
Martin Styner, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

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