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  4. Automatic teeth segmentation in cephalometric X-ray images using a coupled shape model
 
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2018
  • Konferenzbeitrag

Titel

Automatic teeth segmentation in cephalometric X-ray images using a coupled shape model

Abstract
Cephalometric analysis is an important tool used by dentists for diagnosis and treatment of patients. Tools that could automate this time consuming task would be of great assistance. In order to provide the dentist with such tools, a robust and accurate identification of the necessary landmarks is required. However, poor image quality of lateral cephalograms like low contrast or noise as well as duplicate structures resulting from the way these images are acquired make this task difficult. In this paper, a fully automatic approach for teeth segmentation is presented that aims to support the identification of dental landmarks. A 2-D coupled shape model is used to capture the statistical knowledge about the teeth's shape variation and spatial relation to enable a robust segmentation despite poor image quality. 14 individual teeth are segmented and labeled using gradient image features and the quality of the generated results is compared to manually created gold-standard segmentations. Experimental results on a set of 14 test images show promising results with a DICE overlap of 77.2% and precision and recall values of 82.3% and 75.4%, respectively.
Author(s)
Wirtz, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Wambach, Johannes
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Wesarg, Stefan
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
Konferenz
International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0) 2018
International Workshop on Computer Assisted and Robotic Endoscopy (CARE) 2018
International Workshop on Clinical Image-based Procedures (CLIP) 2018
International Workshop on Skin Image Analysis (ISIC) 2018
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2018
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DOI
10.1007/978-3-030-01201-4_21
Language
Englisch
google-scholar
IGD
Tags
  • Lead Topic: Individua...

  • Research Line: Comput...

  • Research Line: Modeli...

  • dental imaging

  • statistical shape mod...

  • model based segmentat...

  • automatic segmentatio...

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