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包含500个高分辨率健康人类头骨以及29个开颅手术头骨和植入物的数据库。

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

作者信息

Li Jianning, Krall Marcell, Trummer Florian, Memon Afaque Rafique, Pepe Antonio, Gsaxner Christina, Jin Yuan, Chen Xiaojun, Deutschmann Hannes, Zefferer Ulrike, Schäfer Ute, Campe Gord von, Egger Jan

机构信息

Graz University of Technology (TU Graz), Graz, Styria, Austria.

Computer Algorithms for Medicine Laboratory (Café Lab), Graz, Styria, Austria.

出版信息

Data Brief. 2021 Nov 4;39:107524. doi: 10.1016/j.dib.2021.107524. eCollection 2021 Dec.

DOI:10.1016/j.dib.2021.107524
PMID:34815988
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8591340/
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.

摘要

在本文中,我们展示了一个颅骨数据库,其中包含从高分辨率头部计算机断层扫描(CT)中分割出的500个健康颅骨,以及从开颅手术头部CT中分割出的29个有缺陷的颅骨。每个健康颅骨都包含人类颅骨的完整解剖结构,包括颅骨、面部骨骼和其他细微结构。对于每个开颅手术颅骨,一部分颅骨缺失,在颅骨上留下一个缺损。缺损具有各种大小、形状和位置,这取决于每个患者的具体病理状况。除了每个开颅手术颅骨外,还提供了一个由专家手动设计的、能够与缺损适配的颅骨植入物。考虑到健康颅骨集合的数量庞大,该数据集可用于研究人类颅骨的几何形状/形状变异性,并创建一个强大的人类颅骨形状统计模型,该模型可用于诸如颅骨植入物设计等各种任务。开颅手术集合可作为自动颅骨植入物设计算法的评估集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/36524440efe8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/a8210975cc4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/4162de6dde37/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/c2aa9cb3048f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/36524440efe8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/a8210975cc4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/4162de6dde37/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/c2aa9cb3048f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/8591340/36524440efe8/gr4.jpg

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本文引用的文献

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Med Image Anal. 2021 Oct;73:102171. doi: 10.1016/j.media.2021.102171. Epub 2021 Jul 20.
2
- Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks.用于自动颅骨植入物设计的数据集以及体积形状学习任务的基准。
Data Brief. 2021 Feb 24;35:106902. doi: 10.1016/j.dib.2021.106902. eCollection 2021 Apr.
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AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
回归本源:基于图像的统计形状模型在大型复杂颅骨缺损中的应用。
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