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

Kari Antila; Mikko Lilja; Martti Kalke; Jyrki Lötjönen

doi:10.1109/IEMBS.2008.4649197

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	490-493
ISBN (Electronic)	978-1-4244-1815-2
ISBN (Print)	978-1-4244-1814-5
DOIs	https://doi.org/10.1109/IEMBS.2008.4649197
Publication status	Published - 2008
MoE publication type	A4 Article in a conference publication
Event	30th Annual International IEEE EMBS Conference 2008 - Vancouver, Canada Duration: 20 Aug 2008 → 24 Aug 2008

Conference

Conference	30th Annual International IEEE EMBS Conference 2008
Country/Territory	Canada
City	Vancouver
Period	20/08/08 → 24/08/08

Keywords

image segmentation
biomedical image
processing
X-ray imaging

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10.1109/IEMBS.2008.4649197

Cite this

Antila, K., Lilja, M., Kalke, M., & Lötjönen, J. (2008). Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 490-493). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.2008.4649197

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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.",

keywords = "image segmentation, biomedical image, processing, X-ray imaging",

author = "Kari Antila and Mikko Lilja and Martti Kalke and Jyrki L{\"o}tj{\"o}nen",

note = "Project code: 1271; 30th Annual International IEEE EMBS Conference 2008 ; Conference date: 20-08-2008 Through 24-08-2008",

year = "2008",

doi = "10.1109/IEMBS.2008.4649197",

language = "English",

isbn = "978-1-4244-1814-5",

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booktitle = "2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

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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 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, pp. 490-493, 30th Annual International IEEE EMBS Conference 2008, Vancouver, Canada, 20/08/08. https://doi.org/10.1109/IEMBS.2008.4649197

Automatic extraction of mandibular bone geometry for anatomy based synthetization of radiographs. / Antila, Kari; Lilja, Mikko; Kalke, Martti et al.
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, 2008. p. 490-493.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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

AU - Antila, Kari

AU - Lilja, Mikko

AU - Kalke, Martti

AU - Lötjönen, Jyrki

N1 - Project code: 1271

PY - 2008

Y1 - 2008

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.

KW - image segmentation

KW - biomedical image

KW - processing

KW - X-ray imaging

U2 - 10.1109/IEMBS.2008.4649197

DO - 10.1109/IEMBS.2008.4649197

M3 - Conference article in proceedings

SN - 978-1-4244-1814-5

SP - 490

EP - 493

BT - 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 30th Annual International IEEE EMBS Conference 2008

Y2 - 20 August 2008 through 24 August 2008

ER -

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

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Keywords

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