0 289

Cited 0 times in

Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model

DC Field Value Language
dc.contributor.author심규원-
dc.date.accessioned2021-09-29T02:28:00Z-
dc.date.available2021-09-29T02:28:00Z-
dc.date.issued2020-03-
dc.identifier.issn1605-7422-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/184913-
dc.description.abstractSagittal craniosynostosis is the most common craniosynostosis and the premature closure of the sagittal suture makes the skull shape biparietal narrow and elongated. Surgery in infants with sagittal craniosynostosis is a common treatment for correcting the shape of the deformed skull, but the evaluation of the morphological improvement of the skull before and after operation is made by the surgeon’s subjective judgment. Therefore, we propose an efficient method to quantify the shape of the skull before and after surgery based on the mean normal skull model to assess the surgical outcome. In the preprocessing step, to construct the skull model from the pre- and post-operative CT images, each skull model is constructed consisting of the outer surface of the skull. To distinguish individual cranial bones separated by sutures, mean normal skull model is composed of five cranial bones. In the skull model deformation step, to distinguish from the whole bone of the preoperative skull model to the regional bone, the mean normal skull model is deformed into a preoperative skull model, and the deformed mean normal skull model is again deformed into a postoperative skull model. In the regional skull shape index calculation step, to evaluate the degree of expansion and reduction of postoperative skull relative to the preoperative skull, the regional skull shape index is calculated. Experimental results showed that our regional skull shape index can quantify the degree of expansion and reduction of the postoperative skull relative to the preoperative skull of each cranial bone.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSPIE-
dc.relation.isPartOfProgress in Biomedical Optics and Imaging - Proceedings of SPIE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleComputer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurosurgery (신경외과학교실)-
dc.contributor.googleauthorLee, Min Jin-
dc.contributor.googleauthorHong, Helen-
dc.contributor.googleauthorShim, Kyu Won-
dc.identifier.doi10.1117/12.2551258-
dc.contributor.localIdA02187-
dc.contributor.localIdA05971-
dc.contributor.localIdA04059-
dc.relation.journalcodeJ02551-
dc.identifier.urlhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11314/113142Z/Computer-assisted-quantification-of-surgical-outcome-in-infants-with-sagittal/10.1117/12.2551258.short-
dc.contributor.alternativeNameShim, Kyu Won-
dc.contributor.affiliatedAuthor심규원-
dc.citation.startPage113142Z-
dc.identifier.bibliographicCitationProgress in Biomedical Optics and Imaging - Proceedings of SPIE : 113142Z, 2020-03-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.