Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/78113
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Li, Jianning | por |
dc.contributor.author | Gsaxner, Christina | por |
dc.contributor.author | Pepe, Antonio | por |
dc.contributor.author | Morais, Ana | por |
dc.contributor.author | Alves, Victor | por |
dc.contributor.author | von Campe, Gord | por |
dc.contributor.author | Wallner, Juergen | por |
dc.contributor.author | Egger, Jan | por |
dc.date.accessioned | 2022-05-31T11:35:49Z | - |
dc.date.available | 2022-05-31T11:35:49Z | - |
dc.date.issued | 2021-01-29 | - |
dc.identifier.citation | Li, J., Gsaxner, C., Pepe, A., Morais, A., Alves, V., von Campe, G., … Egger, J. (2021, January 29). Synthetic skull bone defects for automatic patient-specific craniofacial implant design. Scientific Data. Springer Science and Business Media LLC. http://doi.org/10.1038/s41597-021-00806-0 | por |
dc.identifier.issn | 2052-4463 | - |
dc.identifier.uri | https://hdl.handle.net/1822/78113 | - |
dc.description.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. Image Acquisition Matrix Size center dot Image Slice Thickness center dot craniofacial regionimaging technique center dot computed tomography Sample Characteristic - Organism Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13265225 | por |
dc.description.sponsorship | This investigation was approved by the internal review board (IRB) of the Medical University of Graz, Austria (IRB: EK-30-340 ex 17/18). This work was supported by CAMed (COMET K-Project 871132), which is funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) and the Austrian Federal Ministry for Digital and Economic Affairs (BMDW) and the Styrian Business Promotion Agency (SFG). Furthermore, the Austrian Science Fund (FWF) KLI 678-B31: "enFaced: Virtual and Augmented Reality Training and Navigation Module for 3D-Printed Facial Defect Reconstructions" and the TU Graz LEAD Project "Mechanics, Modeling and Simulation of Aortic Dissection". Privatdozent Dr. Dr. Jan Egger was supported as Visiting Professor by the Overseas Visiting Scholars Program from the Shanghai Jiao Tong University (SJTU) in China. Finally, we thank Professor Hannes Deutschmann, MD, from the Department of Radiology - Division of Neuroradiology, Vascular and Interventional Neuroradiology of the Medical University of Graz, for having kindly provided us with the source CT datasets used in this work. | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | openAccess | por |
dc.title | Synthetic skull bone defects for automatic patient-specific craniofacial implant design | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.nature.com/articles/s41597-021-00806-0 | por |
oaire.citationIssue | 1 | por |
oaire.citationVolume | 8 | por |
dc.date.updated | 2022-05-31T09:53:59Z | - |
dc.identifier.doi | 10.1038/s41597-021-00806-0 | por |
dc.identifier.pmid | 33514740 | - |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 11215 | - |
sdum.journal | Scientific Data | por |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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s41597-021-00806-0.pdf | 1,93 MB | Adobe PDF | Ver/Abrir |