Quantification of 3d Tooth Movement After a Segmentation using a Watershed 3d Method

被引：0

作者：

Haddani, Hajar ^{[1
]}

Elmoutaouakkil, Abdlmejid ^{[1
]}

Benzekri, Fatiha ^{[2
]}

Aghoutan, Hakima ^{[3
]}

Bourzgui, Farid ^{[3
]}

机构：

[1] Univ CHOUAIB DOUKKALI, Fac Sci, Lab Search Optimizat Emerging Syst Networks & Ima, El Jadida, Morocco

[2] Univ Chouaib Doukkali, Lab Appl Math Phys & Ind, Fac Sci, El Jadida, Morocco

[3] Univ HASSANE 2, Fac Med Dent, Dentofacial Orthoped Dept, Casablanca, Morocco

来源：

PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2016年

关键词：

Cone beam; tooth movement; translation; rotation; segmentation; watershed;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In life we find a lot of several problems that touch all domains. One of them is dental medicine, which was crashing into the mechanical treatment. Nowadays, the appearance of computers in orthodontics has provided a solution to various problems and has facilitated many operations. The objectives of this study is to find a virtual approximation to real orthodontics problems of teeth movement based on digital images take it with cone-beam computed tomography (CBCT) using a different methods to define the transformation that teeth must follow to return to the natural state started by a segmentation using one of the most important method named Watershed. All components of teeth displacement are combination of translations and rotations movement along the three axes. The result showed that the forces applied to the teeth in some positions could decrease number of translations and rotations to the decrease in simulation time.

引用

页码：7 / 11

页数：5

共 50 条

[1] 3D Analysis of Tooth Movement Using 3D Technology
Kau, Chung How
Wilma, David A. Cruz
[J]. CURRENT OSTEOPOROSIS REPORTS, 2020,
[2] Unbiased watershed hierarchical 3D segmentation
Betser, J
Delest, S
Boné, R
[J]. PROCEEDINGS OF THE FIFTH IASTED INTERNATIONAL CONFERENCE ON VISUALIZATION, IMAGING, AND IMAGE PROCESSING, 2005, : 412 - 417
[3] Partitioning 3D surface meshes using watershed segmentation
Mangan, AP
Whitaker, RT
[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 1999, 5 (04) : 308 - 321
[4] A new system for 3D planning of orthodontic treatment and 3D tooth movement simulation
Alcañiz, M
Chinesta, F
Albalat, S
Grau, V
Monserrat, C
[J]. COMPUTER METHODS IN BIOMECHANICS & BIOMEDICAL ENGINEERING - 2, 1998, : 645 - 654
[5] Automatically computed markers for the 3D watershed segmentation
Delest, Sebastien
Bone, Romuald
Cardot, Hubert
[J]. 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 3329 - 3332
[6] Quantification using 3D imaging
Herman, GT
[J]. CRITICAL REVIEWS IN DIAGNOSTIC IMAGING, 2001, 42 (01) : 29 - 57
[7] 3D segmentation and quantification of human vessels based on a new 3D parametric intensity model
Wörz, S
Rohr, K
[J]. PATTERN RECOGNITION, 2004, 3175 : 111 - 119
[8] Segmentation of the Left Ventricle in 3D Echocardiographic Images and Simultaneous Visualization Using the 3D Texture Method
Bosnjak, Antonio
Montilla, Guillermo
Villegas, Hyxia
[J]. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6, 2007, 14 : 2349 - 2352
[9] 3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed
Atta-Fosu, Thomas
Guo, Weihong
Jeter, Dana
Mizutani, Claudia M.
Stopczynski, Nathan
Sousa-Neves, Rui
[J]. JOURNAL OF IMAGING, 2016, 2 (04)
[10] An Unbiased and Intervoxel Watershed Algorithm for 3D Image Segmentation
Baldacci, Fabien
[J]. IMAGE ANALYSIS AND RECOGNITION, PT I, 2012, 7324 : 330 - 337

← 1 2 3 4 5 →