, Taille de voxel de 150 microns. (e) Incisive 21. Taille de voxel de 300 microns. (f) Canine 23. Taille de voxel de 300 microns
, Taille de voxel de 300 microns. (i) Incisive 32. Taille de voxel de 300 microns. (j) Canine 33. Taille de voxel de 300 microns
, Molaire 37. Taille de voxel de 300 microns
, (m) Incisive 41. Taille de voxel de 150 microns. (n) Canine 43. Taille de voxel de 150 microns
, Molaire 47. Taille de voxel de 150 microns
1 -Résultats obtenus par dent individuelle avec la méthode présentée dans le chapitre ,
, Pour chaque série est présentée la coupe axiale puis la coupe coronale et enfin la coupe sagittale, chacune avec leur résultat
, Coupe intermédiaire des dents maxillaires
, Coupe intermédiaire des dents maxillaires
, Rendu de profil gauche
, Rendu de profil droit
, Segmentation multi-objets (a) Incisive 11. Taille de voxel de 150 microns
, Taille de voxel de 150 microns. (c) Canine 33. Taille de voxel de 150 microns
, (d) Molaire 36. Taille de voxel de 150 microns
, Ci-après est illustrée notre ontologie sous sa forme graphique
, Vue globale du modèle avec les principales structures de la zone maxillo-faciale
, Ce concept est spécialisé selon le type de dent, ce qui lui confère des attributs (de forme notamment
, Les arches dentaires sont un groupement de dents aligné localement. Ici l'arche maxillaire. Notons que chaque dent est individualisée par son numéro dentaire
, Les arches dentaires sont un groupement de dents aligné localement. Ici l'arche mandibulaire. Notons que chaque dent est individualisée par son numéro dentaire
, Concept de l'ensemble uni des os maxillaires
, Concept d'une mandibule
A Fast Level Set Method for Propagating Interfaces, Journal of Computational Physics, vol.118, pp.269-277, 1995. ,
Randomized Inquiries about Shape; an Application to Handwritten Digit Recognition, p.18, 1994. ,
From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations, International Joint Conference on Artificial Intelligence -IJCAI, pp.224-229, 2007. ,
GRA-FIP: A Framework for the Representation of Healthy and Pathological Cerebral Information ,
, IEEE International Symposium on Biomedical Imaging -ISBI, vol.87, p.22, 2007.
Level set Deformable Models Constrained by Fuzzy Spatial Relations, International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems -IPMU, vol.86, pp.236-241, 2006. ,
Combination of Visual and Symbolic Knowledge: A Survey in Anatomy, Computers in Biology and Medicine, vol.80, pp.148-157, 2017. ,
Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging ,
, IEEE International Conference on Image Processing -ICIP, vol.4, p.109, 2007.
Statistical Analysis of Dirty Pictures, Journal of the Royal Statistical Society, vol.48, p.40, 1986. ,
The Morphological Approach to Segmentation: the Watershed Transformation, Mathematical Morphology in Image Processing, p.13, 1993. ,
Recognition-by-components: a Theory of Human Image Understanding, Psychological Review, vol.94, p.22, 1987. ,
Anatomic Measurements of Human Teeth Extracted from Males between the ages of 17 and 21 years". Oral Surgery, Oral Medicine, Oral Pathology, vol.38, p.33, 1974. ,
Conditional Variability of Statistical Shape Models based on Surrogate Variables, Medical Image Computing and Computer-Assisted Intervention -MICCAI, vol.5762, pp.84-91, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00813743
Statistical Model based Shape Prediction from a Combination of Direct Observations and Various Surrogates: Application to Orthopaedic Research, Medical Image Analysis, vol.16, issue.6, p.105, 2012. ,
Fuzzy Relative Position between Objects in Image Processing: a Morphological Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, pp.657-664, 1999. ,
Fuzzy Spatial Relationships for Image Processing and Interpretation: a Review, Image and Vision Computing, vol.23, pp.89-110, 2005. ,
Fuzzy Spatial Relationships from Mathematical Morphology for Model-Based Pattern Recognition and Spatial Reasoning, International Conference on Discrete Geometry for Computer Imagery -DGCI, vol.2886, p.22, 2003. ,
Fusion of Spatial Relationships for Guiding Recognition, Example of Brain Structure Recognition in 3D MRI, Pattern Recognition Letters, vol.26, pp.449-457, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01251245
On the Ternary Spatial Relation "Between, IEEE Transactions on Systems, Man, and Cybernetics, vol.36, issue.2, pp.312-339, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-01251251
Directional Relative Position between Objects in Image Processing: a Comparison between Fuzzy Approaches, Pattern Recognition, vol.36, issue.7, pp.1563-1582, 2003. ,
, VisualBackProp: Efficient Visualization of CNNs, p.23, 2016.
Graph Cuts and Efficient N-D Image Segmentation, International Journal of Computer Vision, vol.70, issue.2, p.41, 2006. ,
DOI : 10.1007/s11263-006-7934-5
Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images, IEEE International Conference on Computer Vision -ICCV, vol.37, p.10, 2001. ,
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.1124-1137, 2004. ,
Fast Approximate Energy Minimization via Graph Cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, pp.67-69, 2001. ,
Mathematical Framework for Yopological Relationships between Ribbons and Regions, Journal of Visual Languages and Computing, vol.26, p.22, 2015. ,
Random forests, Machine Learning, vol.45, p.18, 2001. ,
Arbre des Composantes Connexes : Méthodologie et Application à la Segmentation d'Images Médicales, p.13, 2008. ,
A Comparison of Many Max-Tree Computation Algorithms, International Symposium on Mathematical Morphology -ISMM, vol.7883, p.109, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01476238
MToS: A Tree of Shapes for Multivariate Images, IEEE Transactions on Image Processing, vol.24, p.13, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01474835
Geodesic Active Contours, International Journal of Computer Vision, vol.22, pp.9-10, 1997. ,
DOI : 10.1109/iccv.1995.466871
Active Contours Without Edges, IEEE Transactions on Image Processing, vol.10, pp.9-10, 2001. ,
DOI : 10.1109/83.902291
URL : http://www.math.ucla.edu/~lvese/PAPERS/IEEEIP2001.pdf
GC-ASM: Synergistic Integration of Graph-Cut and Active Shape Model Strategies for Medical Image Segmentation, Computer Vision and Image Understanding, vol.117, p.17, 2013. ,
, Deep Reinforcement Learning from Human Preferences, p.23, 2017.
Qualitative Representation of Positional Information, Artificial Intelligence, vol.95, p.22, 1997. ,
DOI : 10.1016/s0004-3702(97)00046-5
URL : https://doi.org/10.1016/s0004-3702(97)00046-5
Représentation, Évaluation et Utilisation de Relations Spatiales pour l'Interprétation d'Images. Application à la Reconnaissance de Structures Anatomiques en Imagerie Médicale, p.22, 2003. ,
Integration of Fuzzy Spatial Relations in Deformable Models-Application to Brain MRI Segmentation, Pattern Recognition, vol.39, issue.8, p.11, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00878443
Segmentation of a High-Resolution Urban Scene Using Texture Operators, Computer Vision, Graphics, and Image Processing, vol.25, p.132, 1984. ,
Active Appearance Models, European Conference on Computer Vision -ECCV, vol.1407, p.28, 1998. ,
Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, p.17, 1995. ,
Power Watershed: A Unifying Graph-based Optimization Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, pp.54-55, 2011. ,
Decision Forests for Computer Vision and Medical Image Analysis, p.18, 2013. ,
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies". Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, pp.106-117, 2011. ,
Cone-Beam Computerized Tomography (CBCT) Imaging of the Oral and Maxillofacial Region: A Systematic Review of the Literature, International Journal of Oral and Maxillofacial Surgery, vol.38, issue.6, pp.609-625, 2009. ,
Fast Extraction of Tubular and Tree 3D Surfaces with Front Propagation Methods, International Conference on Pattern Recognition -ICPR, vol.1, p.60, 2002. ,
From Gestalt Theory to Image Analysis, Interdisciplinary Applied Mathematics, vol.34, p.22, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00259077
3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images, Medical Image Analysis, vol.41, p.20, 2017. ,
Learning to Identify and Track Faces in Image Sequences, IEEE International Conference on Automatic Face and Gesture Recognition -ICAFGR, p.28, 1998. ,
Fuzzy "Along" Spatial Relation in 3D. Application to Anatomical Structures in Maxillofacial CBCT, International Conference on Image Analysis and Processing -ICIAP. Vol. LNCS 9279, pp.271-281, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01464716
Semi-automatic Teeth Segmentation in ConeBeam Computed Tomography by Graph-Cut with Statistical Shape Priors, IEEE International Symposium on Biomedical Imaging -ISBI, vol.2, pp.1197-1200, 2017. ,
Céphalométrie 3D et Intelligence Artificielle, vol.50, p.98, 2016. ,
Maximal Flow Through a Network, Canadian Journal of Mathematics, vol.8, pp.399-404, 1956. ,
Optimisation de Séquences de Segmentation combinant Modèle Structurel et Focalisation de l'Attention Visuelle. Application à la Reconnaissance de Structures, vol.87, 2010. ,
Multiscale Vessel Enhancement Filtering, International Conference on Medical Image Computing and Computer-Assisted Intervention -MICCAI, vol.1496, p.60, 1998. ,
Interactive Graph Cut based Segmentation with Shape Priors ,
, IEEE Conference on Computer Vision and Pattern Recognition -CVPR, vol.1, pp.17-18, 2005.
The Modelling of Spatial Relations, Computer Graphics and Image Processing, vol.4, p.22, 1975. ,
Proximity Operators for Qualitative Spatial Reasoning, Spatial Information Theory : a theoretical basis for GIS, vol.988, p.22, 1995. ,
Toward Accurate Tooth Segmentation from Computed Tomography Images using a Hybrid Level set Model, Medical physics, vol.42, p.11, 2015. ,
Individual Tooth Segmentation from CT Images using Level set Method with Shape and Intensity Prior, Pattern Recognition, vol.43, pp.10-11, 2010. ,
Accurate and Robust Shape Descriptors for the Identification of Rib Cage Structures in CT-Images with Random Forests ,
URL : https://hal.archives-ouvertes.fr/hal-01206863
, IEEE International Symposium on Biomedical Imaging -ISBI, vol.18, pp.54-55, 2013.
Méthodes Multi-Organes rapides avec A Priori de Forme pour la Localisation et la Segmentation en Imagerie Médicale 3D, p.18, 2015. ,
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, p.40, 1984. ,
A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images, International Symposium on Mathematical Morphology -ISMM ,
, LNCS, vol.7883, p.13, 2013.
Extremely Randomized Trees, Machine Learning, vol.63, issue.1, p.18, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00341932
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation, European Conference on Computer Vision -ECCV, vol.7575, pp.870-881 ,
Fast Computation of PCA Bases of Image Subspace using its Inner-product Subspace, Applied Mathematics and Computation, vol.219, p.29, 2013. ,
Random Walks for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.11, p.10, 2006. ,
Microcomputerized Tomographic Analysis of Radicular and Canal Morphology of Premolars with Long Oval Canals". Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology, vol.106, p.60, 2008. ,
Exact Maximum A Posteriori Estimation for Binary Images, Journal of the Royal Statistical Society, vol.51, pp.271-279, 1989. ,
Graph Cut Segmentation with a Statistical Shape Model in Cardiac MRI, Computer Vision and Image Understanding, vol.117, pp.1027-1035, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00936757
Statistical and Structural Approaches To Texture, Proceedings of the IEEE, vol.67, p.132, 1979. ,
Textural Features for Image Classification ,
, IEEE Transactions on Systems, Man, and Cybernetics. 3, vol.6, p.132, 1973.
Spatial Language and Spatial Representation, Cognition, vol.55, p.22, 1995. ,
Tooth Segmentation From Cone-Beam CT Using Graph Cut". Asia-Pacific Signal and Information Processing Association -APSIPA, p.11, 2010. ,
Random Decision Forests, International Conference on Document Analysis and Recognition -ICDAR, p.18, 1995. ,
Fuzzy Spatial Relation Ontology for Image Interpretation". Fuzzy Sets and Systems 159, vol.15, pp.1929-1951, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00824590
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning, NeuroImage, vol.108, pp.25-36, 2011. ,
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data, International Conference on Medical Image Computing and Computer-Assisted Intervention -MICCAI, vol.5762, p.105, 2009. ,
Efficient Multi-scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation, Medical Image Analysis, vol.36, pp.19-20, 2017. ,
Snakes: Active Contour Models, International Journal of Computer Vision, vol.1, pp.321-331, 1988. ,
The Development of Spatial Relation Representations: Evidence from Studies of Cerebral Lateralization, Journal of Experimental Child Psychology, vol.50, p.22, 1990. ,
What Energy Functions can be Minimized via Graph Cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.67-68, 2004. ,
, ImageNet Classification with Deep Convolutional Neural Networks". Conference on Neural Information Processing Systems -NIPS, vol.25, p.19, 2012.
Encyclopédie de l'informatique et des systèmes d'information, pp.1197-1208, 2006. ,
Spatial Relations between 3D Objects: The Association between Natural Language, Journal of Visual Languages and Computing, vol.27, p.22, 2015. ,
Statistical Shape Influence in Geodesic Active Contours, IEEE Conference on Computer Vision and Pattern Recognition -CVPR ,
Level Set Evolution without Re-Initialization: A New Variational Formulation, IEEE Conference on Computer Vision and Pattern Recognition -CVPR, vol.1, p.10, 2005. ,
Complexity of Discrete Energy Minimization Problems ,
, European Conference on Computer Vision -ECCV. Vol. LNCS 9905, p.40, 2016.
Wavelets for Texture Analysis, International Journal of Computer Science and Information Management, p.135, 1997. ,
Fully Convolutional Networks for Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition -CVPR, p.19, 2015. ,
PET-CT Image Registration in the Chest using Free-form Deformations, IEEE Transactions on Medical Imaging, vol.22, p.29, 2003. ,
Classification of Teeth in Cone-Beam CT using Deep Convolutional Neural Network, Computers in Biology and Medicine, vol.80, p.23, 2017. ,
Human-level Control through Deep Reinforcement Learning, Nature, vol.518, p.23, 2015. ,
State of the Art of Compactness and Circularity Measures, International Mathematical Forum, vol.4, p.76, 2009. ,
Entangled Decision Forests and their Application for Semantic Segmentation of CT Images, International Conference on Information Processing in Medical Imaging -IPMI, vol.6801, pp.184-196, 2011. ,
Problems in the Analysis of Survey Data, and a Proposal, Journal of the American Statistical Association, vol.58, p.18, 1963. ,
Segmentation using Vector-Attribute Filters : Methodology and Application to Dermatological Imaging, International Symposium on Mathematical Morphology -ISMM, p.13, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00187232
Building the Component Tree in Quasi-linear Time, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3531-3539, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00622110
Modèles Structurels Flous et Propagation de Contraintes pour la Segmentation et la Reconnaissance d'Objets dans les Images, vol.87, 2009. ,
Learning Deconvolution Network for Semantic Segmentation, IEEE International Conference on Computer Vision -ICCV, p.19, 2015. ,
Fronts Propagating with Curvature-dependent Speed: Algorithms based on Hamilton-Jacobi Formulations, Journal of Computational Physics, vol.79, pp.12-49, 1988. ,
A Threshold Selection Method from Gray-level Histograms, Automatica, vol.20, p.35, 1975. ,
3D Exemplar-based Random Walks for Tooth Segmentation from Cone-Beam Computed Tomography Images, Medical Physics, vol.43, pp.15-16, 2016. ,
Do Deep Features generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains, IEEE Conference on Computer Vision and Pattern Recognition -CVPR, p.20, 2015. ,
Malocclusion, Mastication and the Gastrointestinal System, Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie, vol.71, issue.2, pp.96-107, 2010. ,
The Fuzzy Geometry of Image Subsets, Pattern Recognition Letters, vol.2, p.22, 1984. ,
Tomographie Volumique à Faisceau Conique de la Face (Cone Beam). Rapport technique. Haute Autorité de Santé, pp.1-10, 2009. ,
Antiextensive Connected Operators for Image and Sequence Processing, IEEE Transactions on Image Processing, vol.7, pp.555-570, 1998. ,
What is Cone-Beam CT and How Does it Work?, Dental Clinics of North America, vol.52, pp.707-730, 2008. ,
Wavelet Based Texture Classification, International Conference on Pattern Recognition -ICPR, vol.3, p.135, 2000. ,
Individual Teeth Segmentation in CBCT and MSCT Dental Images using Watershed, Iranian Conference on Biomedical Engineering -ICBME, pp.14-15, 2013. ,
Fast Marching Methods and Level Set Methods for Propagating Interfaces, Computational Fluid Mechanics from von Karman Institute Lecture Series. von Karman Institute, p.9, 1998. ,
Natural-Language Spatial Relations Between Linear and Areal Objects : The Topology and Metric of English, International Journal of Geographical Information Science, vol.12, p.22, 1998. ,
Very Deep Convolutional Networks for Large-Scale Image Recognition, International Conference on Learning Representations -ICRL, pp.19-20, 2015. ,
Content-based Image Retrieval at the End of the Early Years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, p.22, 2000. ,
The Lifting Scheme: A Construction of Second Generation Wavelets, SIAM Journal on Mathematical Analysis, vol.29, p.135, 1998. ,
Metrics for Evaluating 3D Medical Image Segmentation: Analysis, Selection, and Tool, BMC Medical Imaging, vol.15, p.45, 2015. ,
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?, IEEE Transactions on Medical Imaging, vol.35, p.20, 2016. ,
Modeling and Measuring the Spatial Relation "Along": Regions, Contours and Fuzzy Sets, Pattern Recognition, vol.45, pp.75-79, 2012. ,
Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion, International Symposium on Mathematical Morphology -ISMM, vol.10225, p.13, 2017. ,
Relations Spatiales et Raisonnement Spatial pour l'Interprétation des Images d'Observation de la Terre utilisant un Modèle Structurel, vol.22, pp.84-85, 2011. ,
A Fuzzy Definition of the Spatial Relation "Surround"-Application to Complex Shapes, Conference of the European Society for Fuzzy Logic and Technology -EUSFLAT, pp.844-851, 2011. ,
Alignment and Parallelism for the Description of HighResolution Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol.51, pp.3542-3557, 2013. ,
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest". Medical Computer Vision: Algorithms for Big Data, vol.9601, p.23, 2016. ,
An Introduction to Human Factors Engineering, p.107, 2004. ,
Individual Tooth Segmentation from CT Images scanned with Contacts of Maxillary and Mandible Teeth, Computer Methods and Programs in Biomedicine, vol.138, p.11, 2017. ,
Espaces des Formes basés sur des Arbres : Définition et Applications en Traitement d'Images et Vision par Ordinateur, p.13, 2013. ,
From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-like Fully Convolutional Network and Transfer Learning, IEEE International Conference on Image Processing -ICIP, vol.56, p.20, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01735727
Fuzzy Logic = Computing with words, IEEE Transactions on Fuzzy Systems, vol.4, p.22, 1996. ,
, Fuzzy Sets". Information and Control, vol.8, p.22, 1965.
A Semi-automatic Segmentation for Tooth on Cone Beam CT Volume Following the Anatomic Guidance, Journal of Information Hiding and Multimedia Signal Processing, vol.8, pp.12-13, 2017. ,
Measures of Similarity Among Fuzzy Concepts: A Comparative Analysis, International Journal of Approximate Reasoning, vol.1, p.84, 1987. ,