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Proceedings Paper

3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants
Author(s): Beatriz Paniagua; Omri Emodi; Jonathan Hill; James Fishbaugh; Luiz A. Pimenta; Stephen R. Aylward; Enquobahrie Andinet; Guido Gerig; John Gilmore; John A. van Aalst; Martin Styner
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Paper Abstract

The skull of young children is made up of bony plates that enable growth. Craniosynostosis is a birth defect that causes one or more sutures on an infant’s skull to close prematurely. Corrective surgery focuses on cranial and orbital rim shaping to return the skull to a more normal shape. Functional problems caused by craniosynostosis such as speech and motor delay can improve after surgical correction, but a post-surgical analysis of brain development in comparison with age-matched healthy controls is necessary to assess surgical outcome. Full brain segmentations obtained from pre- and post-operative computed tomography (CT) scans of 8 patients with single suture sagittal (n=5) and metopic (n=3), nonsyndromic craniosynostosis from 41 to 452 days-of-age were included in this study. Age-matched controls obtained via 4D acceleration-based regression of a cohort of 402 full brain segmentations from healthy controls magnetic resonance images (MRI) were also used for comparison (ages 38 to 825 days). 3D point-based models of patient and control cohorts were obtained using SPHARM-PDM shape analysis tool. From a full dataset of regressed shapes, 240 healthy regressed shapes between 30 and 588 days-of-age (time step = 2.34 days) were selected. Volumes and shape metrics were obtained for craniosynostosis and healthy age-matched subjects. Volumes and shape metrics in single suture craniosynostosis patients were larger than age-matched controls for pre- and post-surgery. The use of 3D shape and volumetric measurements show that brain growth is not normal in patients with single suture craniosynostosis.

Paper Details

Date Published: 29 March 2013
PDF: 8 pages
Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 86720V (29 March 2013); doi: 10.1117/12.2006524
Show Author Affiliations
Beatriz Paniagua, The Univ. of North Carolina at Chapel Hill (United States)
Omri Emodi, The Univ. of North Carolina at Chapel Hill (United States)
Jonathan Hill, The Univ. of North Carolina at Chapel Hill (United States)
James Fishbaugh, The Univ. of Utah (United States)
Luiz A. Pimenta, The Univ. of North Carolina at Chapel Hill (United States)
Stephen R. Aylward, Kitware, Inc. (United States)
Enquobahrie Andinet, Kitware, Inc. (United States)
Guido Gerig, The Univ. of Utah (United States)
John Gilmore, The Univ. of North Carolina at Chapel Hill (United States)
John A. van Aalst, 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. 8672:
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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