Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

Mikko Lilja; Ville Vuorio; Kari Antila; Henri Setälä; Jorma Järnstedt; Mika Pollari

doi:10.1109/ISBI.2007.357014

Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

Mikko Lilja, Ville Vuorio, Kari Antila, Henri Setälä, Jorma Järnstedt, Mika Pollari

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

3 Citations (Scopus)

Abstract

A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.

Original language	English
Title of host publication	4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro 2007
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1933-1936
ISBN (Electronic)	978-1-4244-0672-2
ISBN (Print)	978-1-4244-0671-5
DOIs	https://doi.org/10.1109/ISBI.2007.357014
Publication status	Published - 2007
MoE publication type	A4 Article in a conference publication
Event	4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 - Arlington, VA, United States Duration: 12 Apr 2007 → 15 Apr 2007

Conference

Conference	4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007
Country/Territory	United States
City	Arlington, VA
Period	12/04/07 → 15/04/07

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10.1109/ISBI.2007.357014

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Lilja, M., Vuorio, V., Antila, K., Setälä, H., Järnstedt, J., & Pollari, M. (2007). Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions. In 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 (pp. 1933-1936). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISBI.2007.357014

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title = "Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions",

abstract = "A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.",

author = "Mikko Lilja and Ville Vuorio and Kari Antila and Henri Set{\"a}l{\"a} and Jorma J{\"a}rnstedt and Mika Pollari",

note = "Project code: 1271; 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 ; Conference date: 12-04-2007 Through 15-04-2007",

year = "2007",

doi = "10.1109/ISBI.2007.357014",

language = "English",

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Lilja, M, Vuorio, V, Antila, K, Setälä, H, Järnstedt, J & Pollari, M 2007, Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions. in 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007. IEEE Institute of Electrical and Electronic Engineers, pp. 1933-1936, 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007, Arlington, VA, United States, 12/04/07. https://doi.org/10.1109/ISBI.2007.357014

Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions. / Lilja, Mikko; Vuorio, Ville; Antila, Kari et al.
4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007. IEEE Institute of Electrical and Electronic Engineers, 2007. p. 1933-1936.

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

TY - GEN

T1 - Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

AU - Lilja, Mikko

AU - Vuorio, Ville

AU - Antila, Kari

AU - Setälä, Henri

AU - Järnstedt, Jorma

AU - Pollari, Mika

N1 - Project code: 1271

PY - 2007

Y1 - 2007

N2 - A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.

AB - A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.

U2 - 10.1109/ISBI.2007.357014

DO - 10.1109/ISBI.2007.357014

M3 - Conference article in proceedings

SN - 978-1-4244-0671-5

SP - 1933

EP - 1936

BT - 4th IEEE International Symposium on Biomedical Imaging

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007

Y2 - 12 April 2007 through 15 April 2007

ER -

Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

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