ArticleInternational journal of computer assisted radiology and surgery2018
Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics.
Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Uncertainty estimation and probabilistic skull shape reconstruction using bayesian neural networks.Scientific reports · 2026Article
- Computational Insights into Root Canal Treatment: A Survey of Selected Methods in Imaging, Segmentation, Morphological Analysis, and Clinical Management.Dentistry journal · 2025Review
- Virtual reconstruction of orbital defects using Gaussian process morphable models.International journal of computer assisted radiology and surgery · 2024Article
- Neural shape completion for personalized Maxillofacial surgery.Scientific reports · 2024Article
- Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.Journal of medical systems · 2024Article
- Three-Dimensional Virtual Reconstruction of External Nasal Defects Based on Facial Mesh Generation Network.Diagnostics (Basel, Switzerland) · 2024Article
- Reconstruction of dental roots for implant planning purposes: a retrospective computational and radiographic assessment of single-implant cases.International journal of computer assisted radiology and surgery · 2024Article
- Cranial reconstruction evaluation - comparison of European statistical shape model performance on Chinese dataset.Bone reports · 2022Article
- Reconstruction of dental roots for implant planning purposes: a feasibility study.International journal of computer assisted radiology and surgery · 2022Article
- Statistical and individual characteristics-based reconstruction for craniomaxillofacial surgery.International journal of computer assisted radiology and surgery · 2022Article
- A Novel Method for Digital Reconstruction of the Mucogingival Borderline in Optical Scans of Dental Plaster Casts.Journal of clinical medicine · 2022Article
- Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP (iterative closest point) algorithm and normal people database.Clinical oral investigations · 2022Article
- Virtual reconstruction of orbital floor defects using a statistical shape model.Journal of anatomy · 2022Article
- The 3D skull 0-4 years: A validated, generative, statistical shape model.Bone reports · 2021Article
- Article
- Thickness accuracy of virtually designed patient-specific implants for large neurocranial defects.Journal of anatomy · 2021Article
- Synthetic skull bone defects for automatic patient-specific craniofacial implant design.Scientific data · 2021Article
- Combining statistical shape modeling, CFD, and meta-modeling to approximate the patient-specific pressure-drop across the aortic valve in real-time.International journal for numerical methods in biomedical engineering · 2020Article
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9 authors.
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Abstract
purposeVirtual reconstruction of large cranial defects is still a challenging task. The current reconstruction procedures depend on the surgeon's experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a computer-based approach employing a statistical shape model (SSM) of the cranial vault.
methodsAn SSM was created based on 131 CT scans of pathologically unaffected adult crania. After segmentation, the resulting surface mesh of one patient was established as template and subsequently registered to the entire sample. Using the registered surface meshes, an SSM was generated capturing the shape variability of the cranial vault. The knowledge about this shape variation in healthy patients was used to estimate the missing parts. The accuracy of the reconstruction was evaluated by using 31 CT scans not included in the SSM. Both unilateral and bilateral bony defects were created on each skull. The reconstruction was performed using the current gold standard of mirroring the intact to the affected side, and the result was compared to the outcome of our proposed SSM-driven method. The accuracy of the reconstruction was determined by calculating the distances to the corresponding parts on the intact skull.
resultsWhile unilateral defects could be reconstructed with both methods, the reconstruction of bilateral defects was, for obvious reasons, only possible employing the SSM-based method. Comparing all groups, the analysis shows a significantly higher precision of the SSM group, with a mean error of 0.47 mm compared to the mirroring group which exhibited a mean error of 1.13 mm. Reconstructions of bilateral defects yielded only slightly higher estimation errors than those of unilateral defects.
conclusionThe presented computer-based approach using SSM is a precise and simple tool in the field of computer-assisted surgery. It helps to reconstruct large-size defects of the skull considering the natural asymmetry of the cranium and is not limited to unilateral defects.
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