MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants

Data in Brief

Hannes Deutschmann¹  Florian Trummer¹  Ute Schäfer¹  Marcell Krall²  Gord von Campe³  Afaque Rafique Memon³  Jianning Li⁴  Xiaojun Chen⁵  Ulrike Zefferer⁵  Jan Egger⁵  Yuan Jin⁶  Christina Gsaxner⁷  Antonio Pepe⁷ 

[1] Computer Algorithms for Medicine Laboratory (Café Lab), Graz, Styria, Austria;Graz University of Technology (TU Graz), Graz, Styria, Austria;Medical University of Graz (MedUni Graz), Graz, Styria, Austria;Corresponding authors.;Graz University of Technology (TU Graz), Graz, Styria, Austria;Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;Medical University of Graz (MedUni Graz), Graz, Styria, Austria;

关键词: Skull;    Cranial implant design;    Craniotomy;    Patient-specific implants (PSI);    Computer-aided design (CAD);    Machine learning;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown