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SHR Neuro Cancer Cardio Lipid Metab Microb

Li, J; Krall, M; Trummer, F; Memon, AR; Pepe, A; Gsaxner, C; Jin, Y; Chen, X; Deutschmann, H; Zefferer, U; Schäfer, U; Campe, GV; Egger, J.
MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants.
Data Brief. 2021; 39: 107524 Doi: 10.1016/j.dib.2021.107524 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

Leading authors Med Uni Graz: Egger Jan; Li Jianning
Co-authors Med Uni Graz: Deutschmann Hannes; Krall Marcell; Schäfer Ute; Schwarz-Gsaxner Christina; Trummer Florian; Zefferer Ulrike
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Abstract:: In this article, we present a skull database containing 500 healthy skulls segmented from high-resolution head computed-tomography (CT) scans and 29 defective skulls segmented from craniotomy head CTs. Each healthy skull contains the complete anatomical structures of human skulls, including the cranial bones, facial bones and other subtle structures. For each craniotomy skull, a part of the cranial bone is missing, leaving a defect on the skull. The defects have various sizes, shapes and positions, depending on the specific pathological conditions of each patient. Along with each craniotomy skull, a cranial implant, which is designed manually by an expert and can fit with the defect, is provided. Considering the large volume of the healthy skull collection, the dataset can be used to study the geometry/shape variabilities of human skulls and create a robust statistical model of the shape of human skulls, which can be used for various tasks such as cranial implant design. The craniotomy collection can serve as an evaluation set for automatic cranial implant design algorithms.
Find related publications in this database (Keywords): Skull; Cranial implant design; Craniotomy; Patient-specific implants (PSI); Computer-aided design (CAD); Machine learning; deep learning