@inproceedings{54ff19549d604f7dbbd2f46b06efc12b,
title = "3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants",
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.",
keywords = "Pediatric neuroimaging, Plastic surgery, Shape analysis, Shape regression, Volumetric analysis",
author = "Beatriz Paniagua and Omri Emodi and Jonathan Hill and James Fishbaugh and Pimenta, {Luiz A.} and Aylward, {Stephen R.} and Enquobahrie Andinet and Guido Gerig and John Gilmore and {Van Aalst}, {John A.} and Martin Styner",
year = "2013",
doi = "10.1117/12.2006524",
language = "English (US)",
isbn = "9780819494467",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2013",
note = "Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 10-02-2013 Through 13-02-2013",
}