Finite element modeling of material property assignment based on CT gray value and its application in simulation of osteotomy for deformities.
- Author:
Han-Bin OUYANG
1
;
Pu-Sheng XIE
;
Yu-Ping DENG
;
Yang YANG
;
Peng-Yu CHEN
;
Hua-Jun HUANG
;
Wen-Hua HUANG
Author Information
- Publication Type:Journal Article
- MeSH: Finite Element Analysis; Humans; Models, Anatomic; Osteotomy; Software; Tibia; pathology; Tomography, X-Ray Computed
- From: Journal of Southern Medical University 2016;36(7):979-983
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo explore a new method for finite element modeling to achieve material property assignment based on in situ CT gray value in simulated osteotomies for deformities.
METHODSA CT scan dataset of the lower limb of a patient with extorsion deformity was obtained for three-dimensional reconstruction using Mimics software and preparing a solid model. In the CAD software, the parameters for osteotomy simulation were defined including the navigation axis, rotation angle and reference plane. The tibia model was imported to the FEA pre-processing software for meshing procedure and then exported to Mimics. All the segments of the tibia meshed model were assigned uneven material properties based on the relationship between CT gray values and material properties in the Mimics software. Finally, all the segments of the tibia model, reference axis and reference plane were assembled in the pre-processing software to form a full finite element model of a corrected tibia, which was submitted to resolver for biomechanical analysis.
RESULTSThe tibia model established using our modeling method had inhomogeneous material properties based on CT gray values, and was available for finite element analysis for the simulation of osteotomy.
CONCLUSIONSThe proposed finite element modeling method, which retains the accuracy of the material property assignment based on CT gray value, can solve the reposition problem commonly seen in modeling via the routine method of property assignment and provides an efficient, flexible and accurate computational biomechanical analysis method for orthopedic surgery.