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Authors: Roberto Lloréns ; Valery Naranjo ; Miriam Clemente ; Mariano Alcãniz and Salvador Albalat

Affiliation: Universidad Politécnica de Valencia, Spain

ISBN: 978-989-674-018-4

ISSN: 2184-4305

Keyword(s): Jaw tissues segmentation, Dental implantology, Fuzzy connectedness, Mathematical morphology.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The success of an oral implant surgery is subject to accurate advance planning. For this purpose, it is fundamental that a computer-guided program provides all the available information in a reliable way. Therefore, to plan a suitable implant placement, an accurate segmentation of the tissues of the jaw is necessary. These tissues are the cortical bone, trabecular core and the mandibular canal. The accurate segmentation of the mandibular canal, along which the inferior alveolar nerve crosses the lower arch, is particularly important since an injury to the canal can result in lip numbness. To this date, existing segmentation methods for the jaw requires high human interaction and/or don't achieve enough accuracy. Our overall aim is to develop an automatic method for the segmentation of the whole jaw, focusing our efforts on achieving very high accuracy and time efficiency. To this end, this paper presents an exhaustive evaluation of fuzzy connectedness object extraction as a plausible segmentation core for this method, basing on the results achieved on 80 CT slices in terms of detection and false alarm probability and merit factor. (More)

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Paper citation in several formats:
Lloréns R.; Naranjo V.; Clemente M.; Alcãniz M.; Albalat S. and (2010). FC-BASED SEGMENTATION OF JAW TISSUES.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 409-414. DOI: 10.5220/0002698804090414

@conference{biosignals10,
author={Roberto Lloréns and Valery Naranjo and Miriam Clemente and Mariano Alcãniz and Salvador Albalat},
title={FC-BASED SEGMENTATION OF JAW TISSUES},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={409-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002698804090414},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - FC-BASED SEGMENTATION OF JAW TISSUES
SN - 978-989-674-018-4
AU - Lloréns, R.
AU - Naranjo, V.
AU - Clemente, M.
AU - Alcãniz, M.
AU - Albalat, S.
PY - 2010
SP - 409
EP - 414
DO - 10.5220/0002698804090414

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