Kevin Lee1, Marie Cherel1, Francois Budin1, John Gilmore1, Kirsten Zaldarriaga Consing1, Jerod Rasmussen2, Pathik D Wadhwa2, Sonja Entringer3, Matthew F Glasser4, David C Van Essen4, Claudia Buss3, Martin Styner5. 1. Department of Psychiatry, University of North Carolina, Chapel Hill. 2. Department of Pediatrics, University of California, Irvine. 3. Department of Pediatrics, University of California, Irvine ; Institute for Medical Psychology, Charité University Medicine, Berlin, Germany. 4. Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis. 5. Department of Psychiatry, University of North Carolina, Chapel Hill ; Department of Computer Science, University of North Carolina, Chapel Hill.
Abstract
PURPOSE: 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. DATA: 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. METHODS: 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/T2w-ratio images. Mean values in lobar regions are evaluated using standard statistical analysis to investigate their interaction with age at scan. RESULTS: 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. CONCLUSIONS: We developed and evaluated a novel way to estimate white matter myelin content for use in studies of brain white matter development.
PURPOSE: 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. DATA: 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 TimTrio 3T at UC Irvine. METHODS: 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/T2w-ratio images. Mean values in lobar regions are evaluated using standard statistical analysis to investigate their interaction with age at scan. RESULTS: 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. CONCLUSIONS: We developed and evaluated a novel way to estimate white matter myelin content for use in studies of brain white matter development.
Entities:
Keywords:
Image Processing; Magnetic Resonance Imaging; Myelin Content; White matter
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