Development and validation of patient-specific finite element models of the hemipelvis generated from a sparse CT data set.
To produce a patient-specific finite element (FE) model of a bone such as the pelvis, a complete computer tomographic (CT) or magnetic resonance imaging (MRI) geometric data set is desirable. However, most patient data are limited to a specific region of interest such as the acetabulum. We have overcome this problem by providing a hybrid method that is capable of generating accurate FE models from sparse patient data sets. In this paper, we have validated our technique with mechanical experiments. Three cadaveric embalmed pelves were strain gauged and used in mechanical experiments. FE models were generated from the CT scans of the pelves. Material properties for cancellous bone were obtained from the CT scans and assigned to the FE mesh using a spatially varying field embedded inside the mesh while other materials used in the model were obtained from the literature. Although our FE meshes have large elements, the spatially varying field allowed them to have location dependent inhomogeneous material properties. For each pelvis, five different FE meshes with a varying number of patient CT slices (8-12) were generated to determine how many patient CT slices are needed for good accuracy. All five mesh types showed good agreement between the model and experimental strains. Meshes generated with incomplete data sets showed very similar stress distributions to those obtained from the FE mesh generated with complete data sets. Our modeling approach provides an important step in advancing the application of FE models from the research environment to the clinical setting.
Shim
Vickie B
VB
Bioengineering Institute, University of Auckland, 1010 New Zealand. v.shim@auckland.ac.nz
Pitto
Rocco P
RP
Streicher
Robert M
RM
Hunter
Peter J
PJ
Anderson
Iain A
IA
D000369:Aged, 80 and over; D003198:Computer Simulation; D055119:Elastic Modulus; D005260:Female; D020342:Finite Element Analysis; D006801:Humans; D008297:Male; D008954:Models, Biological; D010384:Pelvic Bones / Q000000981:diagnostic imaging* / Q000502:physiology*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013314:Stress, Mechanical; D014057:Tomography, X-Ray Computed / Q000379:methods*; D016474:Weight-Bearing / Q000502:physiology*