An open-source, three-dimensional growth model of the mandible

被引:1
|
作者
Klop C. [1 ]
Schreurs R. [1 ,2 ]
De Jong G.A. [2 ]
Klinkenberg E.T. [1 ]
Vespasiano V. [1 ]
Rood N.L. [1 ]
Niehe V.G. [3 ]
Soerdjbalie-Maikoe V. [4 ,5 ]
Van Goethem A. [4 ]
De Bakker B.S. [6 ]
Maal T.J. [1 ,2 ]
Nolte J.W. [1 ]
Becking A.G. [1 ]
机构
[1] Department of Oral and Maxillofacial Surgery, Amsterdam UMC and Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam
[2] Department of Oral and Maxillofacial Surgery 3D Lab, Radboud University Medical Centre Nijmegen, Radboud Institute for Health Sciences, Geert Grooteplein Zuid 10, Nijmegen
[3] Department of Radiology, Groene Hart Ziekenhuis, Bleulandweg 10, Gouda
[4] Department of Forensic Medicine and Pathology, Antwerp University Hospital, Drie Eikenstraat 655, Edegem
[5] Netherlands Forensic Institute, Department of Forensic Medical Research, Laan van Ypenburg 6, The Hague
[6] Department of Obstetrics and Gynecology, Amsterdam UMC Location University of Amsterdam, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, Amsterdam
关键词
Computed tomography; Growth model; Mandible; Open-source; Statistical shape model; Three-dimensional;
D O I
10.1016/j.compbiomed.2024.108455
中图分类号
学科分类号
摘要
The available reference data for the mandible and mandibular growth consists primarily of two-dimensional linear or angular measurements. The aim of this study was to create the first open-source, three-dimensional statistical shape model of the mandible that spans the complete growth period. Computed tomography scans of 678 mandibles from children and young adults between 0 and 22 years old were included in the model. The mandibles were segmented using a semi-automatic or automatic (artificial intelligence-based) segmentation method. Point correspondence among the samples was achieved by rigid registration, followed by non-rigid registration of a symmetrical template onto each sample. The registration process was validated with adequate results. Principal component analysis was used to gain insight in the variation within the dataset and to investigate age-related changes and sexual dimorphism. The presented growth model is accessible globally and free-of-charge for scientists, physicians and forensic investigators for any kind of purpose deemed suitable. The versatility of the model opens up new possibilities in the fields of oral and maxillofacial surgery, forensic sciences or biological anthropology. In clinical settings, the model may aid diagnostic decision-making, treatment planning and treatment evaluation. © 2024 The Authors
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