Feature-invariant image registration method for quantification of surgical outcomes in patients with craniosynostosis: a preliminary study

Elias de Oliveira, Marcelo; Hallila, Harri; Ritvanen, Antti; B"uchler, Philippe; Paulasto, Mervi; Hukki, Jyri (2011). Feature-invariant image registration method for quantification of surgical outcomes in patients with craniosynostosis: a preliminary study. Journal of pediatric surgery, 46(10), E1. Orlando, Fla.: Elsevier 10.1016/j.jpedsurg.2011.04.095

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Craniosynostosis consists of a premature fusion of the sutures in an infant skull that restricts skull and brain growth. During the last decades, there has been a rapid increase of fundamentally diverse surgical treatment methods. At present, the surgical outcome has been assessed using global variables such as cephalic index, head circumference, and intracranial volume. However, these variables have failed in describing the local deformations and morphological changes that may have a role in the neurologic disorders observed in the patients. This report describes a rigid image registration-based method to evaluate outcomes of craniosynostosis surgical treatments, local quantification of head growth, and indirect intracranial volume change measurements. The developed semiautomatic analysis method was applied to computed tomography data sets of a 5-month-old boy with sagittal craniosynostosis who underwent expansion of the posterior skull with cranioplasty. Quantification of the local changes between pre- and postoperative images was quantified by mapping the minimum distance of individual points from the preoperative to the postoperative surface meshes, and indirect intracranial volume changes were estimated. The proposed methodology can provide the surgeon a tool for the quantitative evaluation of surgical procedures and detection of abnormalities of the infant skull and its development.

Item Type:	Journal Article (Original Article)
Division/Institute:	10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Computational Bioengineering 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]
UniBE Contributor:	Elias de Oliveira, Marcelo, Büchler, Philippe
ISSN:	0022-3468
Publisher:	Elsevier
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 14:16
Last Modified:	03 Jul 2024 15:00
Publisher DOI:	10.1016/j.jpedsurg.2011.04.095
Web of Science ID:	000296373200001
URI:	https://boris.unibe.ch/id/eprint/4666 (FactScience: 209228)