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2019 | OriginalPaper | Chapter

Fully Automatic Teeth Segmentation in Adult OPG Images

Authors : Nicolás Vila Blanco, Timothy F. Cootes, Claudia Lindner, Inmaculada Tomás Carmona, Maria J. Carreira

Published in: Computational Methods and Clinical Applications in Musculoskeletal Imaging

Publisher: Springer International Publishing

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Abstract

This work addresses the problem of segmenting teeth in panoramic dental images. Random forest regression voting constrained local models were applied firstly to locate the mandible and the approximate pose of each tooth, and secondly to locate the full outline of each individual tooth. An automatically computed quality-of-fit measure was proposed to identify missing teeth. The system was evaluated using 346 manually annotated images containing adult-stage mandibular teeth. Encouraging results were achieved for detecting missing teeth. The system achieved state-of-the-art performance in locating the outline of present teeth with a median point-to-curve error of 0.2 mm for each of the teeth.

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Title: Fully Automatic Teeth Segmentation in Adult OPG Images
Authors: Nicolás Vila Blanco
Timothy F. Cootes
Claudia Lindner
Inmaculada Tomás Carmona
Maria J. Carreira
Publisher: Springer International Publishing
Book: Computational Methods and Clinical Applications in Musculoskeletal Imaging
Print ISBN: 978-3-030-11165-6

Electronic ISBN: 978-3-030-11166-3

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-11166-3_2

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