3D reconstruction of dental specimens from 2D histological images and microCT-scans.
Direct comparison of experimental and theoretical results in biomechanical studies requires a careful reconstruction of specimen surfaces to achieve a satisfactory congruence for validation. In this paper a semi-automatic approach is described to reconstruct triangular boundary representations from images originating from, either histological sections or microCT-, CT- or MRI-data, respectively. In a user-guided first step, planar 2D contours were extracted for every material of interest, using image segmentation techniques. In a second step, standard 2D triangulation algorithms were used to derive high quality mesh representations of the underlying surfaces. This was accomplished by converting the 2D meshes into 3D meshes by a novel lifting procedure. The meshes can be imported as is into finite element programme packages such as Marc/Mentat or COSMOS/M. Accuracy and feasibility of the algorithm is demonstrated by reconstructing several specimens as examples and comparing simulated results with available measurements performed on the original objects.
Rahimi
A
A
University of Bonn, Department of Orthodontics, Welschnonnenstr.17, 53111, Bonn, Germany.
Keilig
L
L
Bendels
G
G
Klein
R
R
Buzug
T M
TM
Abdelgader
I
I
Abboud
M
M
Bourauel
C
C
D000465:Algorithms; D000818:Animals; D001696:Biomechanical Phenomena; D015921:Dental Implants; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D008334:Mandible / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D008437:Maxilla / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D003765:Models, Dental; D008963:Molar / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D051381:Rats; D013552:Swine; D014057:Tomography, X-Ray Computed
D015921:Dental Implants