Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs

Kari Antila, Mikko Lilja, Martti Kalke, Jyrki Lötjönen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandibular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.
Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages490-493
ISBN (Print)978-1-4244-1815-2, 978-1-4244-1814-5
Publication statusPublished - 2008
MoE publication typeA4 Article in a conference publication
Event30th Annual International IEEE EMBS Conference 2008 - Vancouver, Canada
Duration: 20 Aug 200824 Aug 2008

Conference

Conference30th Annual International IEEE EMBS Conference 2008
CountryCanada
CityVancouver
Period20/08/0824/08/08

Fingerprint

Anatomy
Tooth
Cone-Beam Computed Tomography
Bone and Bones
Artifacts
Noise
Hand
Metals

Keywords

  • image segmentation
  • biomedical image
  • processing
  • X-ray imaging

Cite this

Antila, K., Lilja, M., Kalke, M., & Lötjönen, J. (2008). Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008 (pp. 490-493). IEEE Institute of Electrical and Electronic Engineers .
Antila, Kari ; Lilja, Mikko ; Kalke, Martti ; Lötjönen, Jyrki. / Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. pp. 490-493
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title = "Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs",
abstract = "We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandibular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.",
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Antila, K, Lilja, M, Kalke, M & Lötjönen, J 2008, Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. IEEE Institute of Electrical and Electronic Engineers , pp. 490-493, 30th Annual International IEEE EMBS Conference 2008, Vancouver, Canada, 20/08/08.

Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. / Antila, Kari; Lilja, Mikko; Kalke, Martti; Lötjönen, Jyrki.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. p. 490-493.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs

AU - Antila, Kari

AU - Lilja, Mikko

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N1 - Project code: 1271

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N2 - We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandibular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.

AB - We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandibular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.

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Antila K, Lilja M, Kalke M, Lötjönen J. Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. IEEE Institute of Electrical and Electronic Engineers . 2008. p. 490-493