Computed tomography data collection of the complete human mandible and valid clinical ground truth models

Jürgen Wallner, Irene Mischak, Jan Egger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Image-based algorithmic software segmentation is an increasingly important topic in many medical fields. Algorithmic segmentation is used for medical three-dimensional visualization, diagnosis or treatment support, especially in complex medical cases. However, accessible medical databases are limited, and valid medical ground truth databases for the evaluation of algorithms are rare and usually comprise only a few images. Inaccuracy or invalidity of medical ground truth data and image-based artefacts also limit the creation of such databases, which is especially relevant for CT data sets of the maxillomandibular complex. This contribution provides a unique and accessible data set of the complete mandible, including 20 valid ground truth segmentation models originating from 10 CT scans from clinical practice without artefacts or faulty slices. From each CT scan, two 3D ground truth models were created by …
Original languageEnglish
Article number190003
Number of pages14
JournalScientific Data
Volume6
DOIs
Publication statusPublished - 2019

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Computed Tomography
Tomography
Computerized tomography
Valid
Segmentation
artifact
invalidity
Visualization
Slice
Model
visualization
Three-dimensional
Software
Truth
Human
Computed tomography
Data collection
Evaluation
evaluation
segmentation

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Computed tomography data collection of the complete human mandible and valid clinical ground truth models. / Wallner, Jürgen; Mischak, Irene; Egger, Jan.

In: Scientific Data , Vol. 6, 190003, 2019.

Research output: Contribution to journalArticleResearchpeer-review

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