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

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 limite...

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Veröffentlicht in:Scientific data Jg. 6; H. 1; S. 190003
Hauptverfasser: Wallner, Jürgen, Mischak, Irene, Jan Egger
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 29.01.2019
Nature Publishing Group
Schlagworte:
631/114/2400
692/308/575
692/698/3008
692/700/1421/1846/2771
Algorithms
Artefacts
Computed tomography
Data Descriptor
Humanities and Social Sciences
Humans
Image processing
Image Processing, Computer-Assisted - standards
Imaging, Three-Dimensional
Mandible
Mandible - anatomy & histology
Mandible - diagnostic imaging
multidisciplinary
Science
Segmentation
Statistical analysis
Tomography
Tomography, X-Ray Computed
ISSN:2052-4463, 2052-4463
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Zusammenfassung: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 clinical experts through independent manual slice-by-slice segmentation, and the models were statistically compared to prove their validity. These data could be used to conduct serial image studies of the human mandible, evaluating segmentation algorithms and developing adequate image tools. Design Type(s) modeling and simulation objective • image processing objective Measurement Type(s) 3D structure determination assay Technology Type(s) computed tomography Factor Type(s) biological sex • age Sample Characteristic(s) Homo sapiens • mandible Machine-accessible metadata file describing the reported data (ISA-Tab format)
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Conceived and designed the experiments: J.W. and J.E. Performed the experiments: J.W. and J.E. Analysed the data: J.W., I.M., and J.E. Contributed reagents/materials/analysis tools: J.W., I.M., and J.E. Wrote the paper: J.W. and J.E.
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2019.3