Snake-based tool for supporting interactive tooth segmentation from 3D mandibular meshes
department or school: Applied Science, Faculty of
department or school: Electrical and Computer Engineering, Department of
data provider: DSpace
degree campus: UBCV
creator: Yang, Rui
issued: 2021-08-27T13:33:12Z
issued: 2021
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: Mandibular meshes segmented from computerized tomography (CT) images contain rich information of the dentition. Inconsistent dentition conditions in healthy mandible data sets can impair data-driven premorbid shape prediction for diseased mandibles. We developed a mesh segmentation method that includes a preprocessing algorithm using an off-the-shelf non-rigid registration, a surface mesh feature function, and an active contour model using geodesic distance. Constructive Solid Geometry (CSG) operations are employed to separate the dentition area from the mandibular mesh. An easy-to-use interactive tool was implemented, allowing users to adjust the contour position. We evaluated our method (preprocessing algorithm and user intervention) by comparing it with the traditional method of manual removal using 3D Slicer. The results indicated that our method helped save the manual processing time by 40%, which largely improves the efficiency. From a statistical-shape-modeling-based shape completion test, we drew the conclusion that edentulous mandibular data set could help make significantly better premorbid shape predictions (Z=-2.484,p=0.013) than data set with mixed dentition conditions. Besides tooth segmentation from 3D meshes, our research can assist virtual planning for bone graft placement in the defective mandible and implant placement in the bone graft. This work forms the underlying basis of a useful tool for coupling jaw reconstruction and restorative dentition for patient treatment planning.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/79477
note: Snake-Based Tool for SupportingInteractive Tooth Segmentation from3D Mandibular MeshesbyRui YangB.Sc., Tianjin University, 2017A THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFMASTER OF APPLIED SCIENCEinThe Faculty of Graduate and Postdoctoral Studies(Electrical and Computer Engineering)THE UNIVERSITY OF BRITISH COLUMBIA(Vancouver)August 2021c© Rui Yang 2021The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the thesis entitled: Snake-Based Tool for Supporting Interactive Tooth Segmentation from 3D Mandibular Meshes submitted by Rui Yang in partial fulfillment of the requirements for the degree of Master of Applied Science in Electrical and Computer Engineering Examining Committee: Sid Fels, Professor, Electrical and Computer Engineering, UBC Supervisor Purang Abolmaesumi, Professor, Electrical and Computer Engineering, UBC Supervisory Committee Member Antony Hodgson, Professor, Mechanical Engineering, UBC Supervisory Committee Member iiAbstractMandibular meshes segmented from computerized tomography (CT) imagescontain rich information of the dentition. Inconsistent dentition conditionsin healthy mandible data sets can impair data-driven premorbid shape pre-diction for diseased mandibles. We developed a mesh segmentation methodthat includes a preprocessing algorithm using an off-the-shelf non-rigid reg-istration, a surface mesh feature function, and an active contour model us-ing geodesic distance. Constructive Solid Geometry (CSG) operations areemployed to separate the dentition area from the mandibular mesh. Aneasy-to-use interactive tool was implemented, allowing users to adjust thecontour position.We evaluated our method (preprocessing algorithm and user interven-tion) by comparing it with the traditional method of manual removal using3D Slicer. The results indicated that our method helped save the man-ual processing time by 40%, which largely improv…
has type: Thesis/Dissertation
date issued: 2021-11
is shown at: 10.14288/1.0401750
language: eng
degree discipline: Electrical and Computer Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Fels, Sidney
type: Text
identifier URI: http://hdl.handle.net/2429/79477