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Proceedings Paper

Changes of MR and DTI appearance in early human brain development
Author(s): Cassian Marc; Clement Vachet; Guido Gerig; Joseph Blocher; John Gilmore; Martin Styner
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Paper Abstract

Understanding myelination in early brain development is of clinical importance, as many neurological disorders have their origin in early cerebral organization and maturation. The goal of this work is to study a large neonate database acquired with standard MR imagery to illuminate effects of early development in MRI. 90 neonates were selected from a study of healthy brain development. Subjects were imaged via MRI postnatally. MR acquisition included high-resolution structural and diffusion tensor images. Unbiased atlases for structural and DTI data were generated and co-registered into a single coordinate frame for voxel-wise comparison of MR and DTI appearance across time. All original datasets were mapped into this frame and structural image data was additionally intensity normalized. In addition, myelinated white matter probabilistic segmentations from our neonate tissue segmentation were mapped into the same space to study how our segmentation results were affected by the changing intensity characteristics in early development Linear regression maps and p-value maps were computed and visualized. The resulting visualization of voxelswise corresponding maps of all MR and DTI properties captures early development information in MR imagery. Surprisingly, we encountered regions of seemingly decreased myelinated WM probability over time even though we expected a confident increase for all of the brain. The intensity changes in the MR images in those regions help explain this counterintuitive result. The regressional results indicate that this is an effect of intensity changes due not solely to myelination processes but also likely brain dehydration processes in early postnatal development.

Paper Details

Date Published: 12 March 2010
PDF: 7 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762324 (12 March 2010); doi: 10.1117/12.844912
Show Author Affiliations
Cassian Marc, The Univ. of North Carolina at Chapel Hill (United States)
Clement Vachet, The Univ. of North Carolina at Chapel Hill (United States)
Guido Gerig, The Univ. of Utah (United States)
Joseph Blocher, The Univ. of North Carolina at Chapel Hill (United States)
John Gilmore, The Univ. of North Carolina at Chapel Hill (United States)
Martin Styner, The Univ. of North Carolina at Chapel Hill (United States)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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