dc.contributor.author |
Llorens Rodríguez, Roberto
|
es_ES |
dc.contributor.author |
Naranjo Ornedo, Valeriana
|
es_ES |
dc.contributor.author |
López-Mir, Fernando
|
es_ES |
dc.contributor.author |
Alcañiz Raya, Mariano Luis
|
es_ES |
dc.date.accessioned |
2015-07-06T06:27:21Z |
|
dc.date.available |
2015-07-06T06:27:21Z |
|
dc.date.issued |
2012-11 |
|
dc.identifier.issn |
0169-2607 |
|
dc.identifier.issn |
1872-7565 |
|
dc.identifier.uri |
http://hdl.handle.net/10251/52699 |
|
dc.description.abstract |
The success of oral surgery is subject to accurate advanced planning. In order to properly plan for dental surgery or a suitable implant placement, it is necessary an accurate segmentation of the jaw tissues: the teeth, the cortical bone, the trabecular core and over all, the inferior alveolar nerve. This manuscript presents a new automatic method that is based on fuzzy connectedness object extraction and mathematical morphology processing. The method uses computed tomography data to extract different views of the jaw: a pseudo-orthopantomographic view to estimate the path of the nerve and cross-sectional views to segment the jaw tissues. The method has been tested in a groundtruth set consisting of more than 9000 cross-sections from 20 different patients and has been evaluated using four similarity indicators (the Jaccard index, Dice's coefficient, point-to-point and point-to-curve distances), achieving promising results in all of them (0.726 ± 0.031, 0.840 ± 0.019, 0.144 ± 0.023 mm and 0.163 ± 0.025 mm, respectively). The method has proven to be significantly automated and accurate, with errors around 5% (of the diameter of the nerve), and is easily integrable in current dental planning systems. © 2012 Elsevier Ireland Ltd. |
es_ES |
dc.description.sponsorship |
This work has been supported by the project MIRACLE (DPI2007-66782-C03-01-AR07) of Spanish Ministerio de Educacion y Ciencia. |
en_EN |
dc.language |
Inglés |
es_ES |
dc.publisher |
Elsevier |
es_ES |
dc.relation.ispartof |
Computer Methods and Programs in Biomedicine |
es_ES |
dc.rights |
Reserva de todos los derechos |
es_ES |
dc.subject |
Automatic computer-aided surgery |
es_ES |
dc.subject |
Fuzzy connectedness |
es_ES |
dc.subject |
Inferior alveolar nerve |
es_ES |
dc.subject |
Jaw tissue segmentation/reconstruction |
es_ES |
dc.subject |
Automatic method |
es_ES |
dc.subject |
Computed tomography data |
es_ES |
dc.subject |
Computer aided surgery |
es_ES |
dc.subject |
Cortical bone |
es_ES |
dc.subject |
CT Image |
es_ES |
dc.subject |
Dental surgery |
es_ES |
dc.subject |
Implant placement |
es_ES |
dc.subject |
Jaccard index |
es_ES |
dc.subject |
Morphological processing |
es_ES |
dc.subject |
Object extraction |
es_ES |
dc.subject |
Planning systems |
es_ES |
dc.subject |
Tissue segmentation |
es_ES |
dc.subject |
Fuzzy systems |
es_ES |
dc.subject |
Histology |
es_ES |
dc.subject |
Mathematical morphology |
es_ES |
dc.subject |
Surgery |
es_ES |
dc.subject |
Tissue |
es_ES |
dc.subject |
Computerized tomography |
es_ES |
dc.subject |
Accuracy |
es_ES |
dc.subject |
Algorithm |
es_ES |
dc.subject |
Article |
es_ES |
dc.subject |
Automation |
es_ES |
dc.subject |
Blood vessel diameter |
es_ES |
dc.subject |
Clinical article |
es_ES |
dc.subject |
Computer assisted tomography |
es_ES |
dc.subject |
Dental procedure |
es_ES |
dc.subject |
Fuzzy system |
es_ES |
dc.subject |
Human |
es_ES |
dc.subject |
Image processing |
es_ES |
dc.subject |
Image reconstruction |
es_ES |
dc.subject |
Jaw |
es_ES |
dc.subject |
Mathematical computing |
es_ES |
dc.subject |
Morphology |
es_ES |
dc.subject |
Nerve |
es_ES |
dc.subject |
Three dimensional imaging |
es_ES |
dc.subject.classification |
TEORIA DE LA SEÑAL Y COMUNICACIONES |
es_ES |
dc.subject.classification |
EXPRESION GRAFICA EN LA INGENIERIA |
es_ES |
dc.title |
Jaw tissues segmentation in dental 3D CT images using fuzzy-connectedness and morphological processing |
es_ES |
dc.type |
Artículo |
es_ES |
dc.identifier.doi |
10.1016/j.cmpb.2012.05.014 |
|
dc.relation.projectID |
info:eu-repo/grantAgreement/MEC//DPI2007-66782-C03-01/ES/DESARROLLO DE UN SISTEMA AVANZADO DE DISEÑO, SIMULACION Y FABRICACION FLEXIBLE DE PROTESIS DENTALES IMPLANTOSOPORTADAS/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica |
es_ES |
dc.description.bibliographicCitation |
Llorens Rodríguez, R.; Naranjo Ornedo, V.; López-Mir, F.; Alcañiz Raya, ML. (2012). Jaw tissues segmentation in dental 3D CT images using fuzzy-connectedness and morphological processing. Computer Methods and Programs in Biomedicine. 108(2):832-843. https://doi.org/10.1016/j.cmpb.2012.05.014 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
http://dx.doi.org/10.1016/j.cmpb.2012.05.014 |
es_ES |
dc.description.upvformatpinicio |
832 |
es_ES |
dc.description.upvformatpfin |
843 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
108 |
es_ES |
dc.description.issue |
2 |
es_ES |
dc.relation.senia |
227805 |
|
dc.contributor.funder |
Ministerio de Educación y Ciencia |
es_ES |