Human Bony Labyrinth Dataset: Co-Registered CT and micro-CT Images, Surface Models and Anatomical Landmarks

Wimmer, Wilhelm; Anschütz, Lukas; Weder, Stefan; Wagner, Franca; Delingette, Hervé; Caversaccio, Marco (2019). Human Bony Labyrinth Dataset: Co-Registered CT and micro-CT Images, Surface Models and Anatomical Landmarks. Data in brief, 27, p. 104782. Elsevier 10.1016/j.dib.2019.104782

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The presented data set consists of images, labels and surface models of 23 human bony labyrinths. For each specimen clinical computed tomography (CT) and co-registered high-resolution micro-CT images were acquired. Using the images, the bony labyrinth was segmented and 3D surface models were generated. Each specimen is accompanied by a description file containing the coordinates of anatomical landmarks and the corresponding cochlear coordinate system. The data set can be used to study the morphology of the inner ear or to evaluate segmentation algorithm as used for the preoperative planning of surgical procedures such as cochlear implantation.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy > ARTORG Center - Artificial Hearing Research
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Wimmer, Wilhelm; Anschütz, Lukas Peter; Weder, Stefan; Wagner, Franca and Caversaccio, Marco

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2352-3409

Publisher:

Elsevier

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Wilhelm Wimmer

Date Deposited:

20 Nov 2019 16:39

Last Modified:

24 Nov 2019 02:45

Publisher DOI:

10.1016/j.dib.2019.104782

BORIS DOI:

10.7892/boris.134950

URI:

https://boris.unibe.ch/id/eprint/134950

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