The data contains 300 skulls. The data is divided into three groups with 100 scans in three categories Females, Males, and Mix. The purpose of the project was to generate a machine learning algorithm to be able reconstruct missing parts of the skull for cranioplasty. Each scan was verified to ensure normal skull shape. To ensure data privacy the faces have been deblurred with an in-house developed algorithm.
Keywords: Radiology, Skull, CT, Computed tomography, Face blur, Male, Female.
Sample images
Sample images with reduced image quality. Please click to preview.
Dataset information
Short name | CTSKULL |
---|---|
Origin | Clinical |
Cite as | Einar Heiberg and Finn Lennartsson (2021) CT of normal skulls in three categories (Female, Male, Mixed) doi:10.23698/aida/ctskull |
Field | Radiology |
Organ |
Skull |
Age span | 19-100 |
Title | CT of normal skulls in three categories (Female, Male, Mixed) |
Author |
Einar Heiberg
Finn Lennartsson |
Year | 2021 |
DOI | doi:10.23698/aida/ctskull |
Status | Completed |
Version | 1.0.0 |
Scans | 300 |
Annotations | 0 |
Size | 34.43GB |
Resolution | Typically 0.5 isotropic |
Modality |
CT
|
Scanner |
|
Stain | |
Phase | |
References |
|
Copyright | Copyright 2021 Region Skåne, Einar Heiberg |
Access |
Available under the following licenses, described in the License section below.
Controlled access
AIDA license
|
Annotation
There are no annotations performed on the data set as segmentation of the skull shape is trivial by use of thresholding. All annotation in the project was fully automated.
File formats
Each study is zipped into one file. All files are stored in DICOM format.
License
Controlled access
Free for use in research or education. Please contact the dataset provider for terms of access.
You are invited to send an access request email from your institutional account.
Clicking the access request email link above should open a draft email message in a new window, to help you provide relevant information for efficient request evaluation. If the above link does not work for you, then please click to view the suggested email text.
cc: aida-data@nbis.se
Subject: Requesting access to dataset doi:10.23698/aida/ctskull
Hi!
I work at INSTITUTION department of DEPARTMENT in COUNTRY, emailing from my institutional account.
I would like to request access to the dataset doi:10.23698/aida/ctskull, for use in research or education.
Our planned use of the data can be summarized as:
BRIEF_DESCRIPTION_OF_PLANNED_ACTIVITIES_HERE
Dataset: https://datahub.aida.scilifelab.se/10.23698/aida/ctskull
Also, I would like to ALTERNATIVELY_WOULD_NOT_LIKE_TO be included in the public record of data sharing facilitated by AIDA:
https://docs.google.com/spreadsheets/d/1fl2BwZJ4rivOKzOCy5pAnxU8N1CyoF86BTCnH-rBV04
which is used to facilitate scientific discussion, and to show what good AIDA has been to the global research community.
(If "not", then only the institution/department information will be included. This choice of personal participation is not weighed into the access request eligibility evaluation.)
/MY_NAME
Click to create draft email (new window). Use your institutional account.
AIDA BY license
Copyright 2021 Region Skåne, Einar Heiberg
Permission to use, copy, modify, and/or distribute the data within AIDA (Analytic Imaging Diagnostics Arena https://medtech4health.se/aida) for the purpose of research or education with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies, and that publications resulting from the use of this data cite the following works:
Einar Heiberg and Finn Lennartsson (2021) CT of normal skulls in three categories (Female, Male, Mixed) doi:10.23698/aida/ctskull.
THE DATA IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DATA INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR CHARACTERISTICS OF THIS DATA.