Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Li, J; Gsaxner, C; Pepe, A; Morais, A; Alves, V; von Campe, G; Wallner, J; Egger, J.
Synthetic skull bone defects for automatic patient-specific craniofacial implant design.
Sci Data. 2021; 8(1):36-36
Doi: 10.1038/s41597-021-00806-0
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- Führende Autor*innen der Med Uni Graz
- Egger Jan
- Wallner Jürgen
- Co-Autor*innen der Med Uni Graz
- Schwarz-Gsaxner Christina
- von Campe Gord
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- Abstract:
- Patient-specific craniofacial implants are used to repair skull bone defects after trauma or surgery. Currently, cranial implants are designed and produced by third-party suppliers, which is usually time-consuming and expensive. Recent advances in additive manufacturing made the in-hospital or in-operation-room fabrication of personalized implants feasible. However, the implants are still manufactured by external companies. To facilitate an optimized workflow, fast and automatic implant manufacturing is highly desirable. Data-driven approaches, such as deep learning, show currently great potential towards automatic implant design. However, a considerable amount of data is needed to train such algorithms, which is, especially in the medical domain, often a bottleneck. Therefore, we present CT-imaging data of the craniofacial complex from 24 patients, in which we injected various artificial cranial defects, resulting in 240 data pairs and 240 corresponding implants. Based on this work, automatic implant design and manufacturing processes can be trained. Additionally, the data of this work build a solid base for researchers to work on automatic cranial implant designs.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Computer-Aided Design -
- Humans -
- Imaging, Three-Dimensional -
- Prostheses and Implants -
- Prosthesis Design -
- Skull - anatomy & histology
- Skull - diagnostic imaging
- Skull - pathology
- Tomography, X-Ray Computed -