دورية أكاديمية
أعرض في EDS

The 3D skull 0-4 years: A validated, generative, statistical shape model.

التفاصيل البيبلوغرافية
العنوان: The 3D skull 0-4 years: A validated, generative, statistical shape model.
المؤلفون: O' Sullivan E; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.; Department of Computing, Imperial College London, London, UK., van de Lande LS; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK., Oosting AC; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.; Department of Oral and Maxillofacial Surgery, Erasmus Medical Centre, Rotterdam, the Netherlands., Papaioannou A; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.; Department of Computing, Imperial College London, London, UK., Jeelani NO; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK., Koudstaal MJ; Department of Oral and Maxillofacial Surgery, Erasmus Medical Centre, Rotterdam, the Netherlands., Khonsari RH; Oral and Maxillofacial Surgery Department, Hospital Necker, Enfants Malades, Paris, France., Dunaway DJ; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK., Zafeiriou S; Department of Computing, Imperial College London, London, UK., Schievano S; Great Ormond Street Institute of Child Health, University College London & Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.
المصدر: Bone reports [Bone Rep] 2021 Nov 29; Vol. 15, pp. 101154. Date of Electronic Publication: 2021 Nov 29 (Print Publication: 2021).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101646176 Publication Model: eCollection Cited Medium: Print ISSN: 2352-1872 (Print) Linking ISSN: 23521872 NLM ISO Abbreviation: Bone Rep Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [Philadelphia] : Elsevier Inc., [2015]-
مستخلص: Background: This study aims to capture the 3D shape of the human skull in a healthy paediatric population (0-4 years old) and construct a generative statistical shape model.
Methods: The skull bones of 178 healthy children (55% male, 20.8 ± 12.9 months) were reconstructed from computed tomography (CT) images. 29 anatomical landmarks were placed on the 3D skull reconstructions. Rotation, translation and size were removed, and all skull meshes were placed in dense correspondence using a dimensionless skull mesh template and a non-rigid iterative closest point algorithm. A 3D morphable model (3DMM) was created using principal component analysis, and intrinsically and geometrically validated with anthropometric measurements. Synthetic skull instances were generated exploiting the 3DMM and validated by comparison of the anthropometric measurements with the selected input population.
Results: The 3DMM of the paediatric skull 0-4 years was successfully constructed. The model was reasonably compact - 90% of the model shape variance was captured within the first 10 principal components. The generalisation error, quantifying the ability of the 3DMM to represent shape instances not encountered during training, was 0.47 mm when all model components were used. The specificity value was <0.7 mm demonstrating that novel skull instances generated by the model are realistic. The 3DMM mean shape was representative of the selected population (differences <2%). Overall, good agreement was observed in the anthropometric measures extracted from the selected population, and compared to normative literature data (max difference in the intertemporal distance) and to the synthetic generated cases.
Conclusion: This study presents a reliable statistical shape model of the paediatric skull 0-4 years that adheres to known skull morphometric measures, can accurately represent unseen skull samples not used during model construction and can generate novel realistic skull instances, thus presenting a solution to limited availability of normative data in this field.
Competing Interests: A.P. and S.Z. currently work with Huawei Technologies Co., Ltd. They were with University College London and Imperial College London during the experiments, respectively. The other authors declare no competing interests.
(© 2021 The Authors. Published by Elsevier Inc.)
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فهرسة مساهمة: Keywords: 3D morphable model; Morphometrics; Paediatric skull; Statistical shape model; Synthetic shapes
تواريخ الأحداث: Date Created: 20211217 Latest Revision: 20220429
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC8645852
DOI: 10.1016/j.bonr.2021.101154
PMID: 34917697
قاعدة البيانات: MEDLINE
الوصف
تدمد:2352-1872
DOI:10.1016/j.bonr.2021.101154