The ability to visualize and quantify tissue shape and its corresponding mechanical function is essential in a broad range of medical disciplines to characterize disease, obtain an accurate diagnosis, plan treatment, and design medical devices. Volumetric images, obtained using CT or MRI, can be reconstructed into 3D models. These models may provide a more thorough description than that afforded by measurements of 2D images alone. However, it is difficult to extract clinically relevant metrics from 3D surfaces. Equally important, objective methods to identify and compare 3D anatomy are not readily available; it remains challenging to decipher which variations are normal and which are pathological. Tools that can statistically analyze 3D shapes of biological tissues in a consistent and clinically meaningful fashion would address each of these issues. The lack of tools available to analyze shape and associate shape parameters with mechanical predictions represents a substantial gap in biomedical computing. We propose to integrate and apply SSM and FE to streamline the process of generating many FE models at once to study how anatomy and variations thereof affect tissue mechanics.
In Aim 1 we will develop tools to relate shape analysis data to clinically relevant parameters by modifying and enhancing the existing software developed under the National Alliance for Medical Image Computing (NA- MIC), ShapeWorks. We will then integrate ShapeWorks with the open-source biomechanical modeling software, FEBio, for shape-function biomechanical analyses.
In Aim 2 we will apply SSM tools from Aim 1 to quantify variation in femoral head anatomy and acetabular coverage among normal hips and hips with femoroacetabular impingement (FAI). Shape analysis data will be correlated to 2D radiographic and 3D model-based measures to determine if current clinical metrics can describe FAI deformities. The integrated platform will then be used in Aim 3 to examine the correspondence between shape and mechanics in a population of patients with acetabular dysplasia. We will test the hypothesis that shape, and shape-alone (as derived by ShapeWorks) can predict hip joint contact mechanics. Our long-term goals are to make ShapeWorks the standard for shape analyses in medicine, and to make the coupled use of ShapeWorks and FEBio a standard for investigating relationships between shape and mechanical function. The work proposed herein will establish the framework for achieving these goals.

Public Health Relevance

In this research, we will expand and integrate statistical shape analysis and biomechanics software to study the relationship between 3D anatomy and mechanical function. We will make the software publically available and use it to investigate Femoroacetabular Impingement (FAI) and Dysplasia, two diseases believed to cause hip osteoarthritis. The research will improve the diagnosis and treatment of FAI and dysplasia.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
4R01EB016701-04
Application #
9113003
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Pai, Vinay Manjunath
Project Start
2013-08-01
Project End
2017-07-31
Budget Start
2016-08-01
Budget End
2017-07-31
Support Year
4
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Utah
Department
Orthopedics
Type
Schools of Medicine
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Killian, Megan L; Locke, Ryan C; James, Michael G et al. (2018) Novel model for the induction of postnatal murine hip deformity. J Orthop Res :
Erdemir, Ahmet; Hunter, Peter J; Holzapfel, Gerhard A et al. (2018) Perspectives on Sharing Models and Related Resources in Computational Biomechanics Research. J Biomech Eng 140:
Atkins, Penny R; Aoki, Stephen K; Whitaker, Ross T et al. (2017) Does Removal of Subchondral Cortical Bone Provide Sufficient Resection Depth for Treatment of Cam Femoroacetabular Impingement? Clin Orthop Relat Res 475:1977-1986
Knight, Spencer J; Abraham, Christine L; Peters, Christopher L et al. (2017) Changes in chondrolabral mechanics, coverage, and congruency following peri-acetabular osteotomy for treatment of acetabular retroversion: A patient-specific finite element study. J Orthop Res 35:2567-2576
Atkins, Penny R; Elhabian, Shireen Y; Agrawal, Praful et al. (2017) Quantitative comparison of cortical bone thickness using correspondence-based shape modeling in patients with cam femoroacetabular impingement. J Orthop Res 35:1743-1753
Harris, Michael D; MacWilliams, Bruce A; Bo Foreman, K et al. (2017) Higher medially-directed joint reaction forces are a characteristic of dysplastic hips: A comparative study using subject-specific musculoskeletal models. J Biomech 54:80-87
Klennert, Brenden J; Ellis, Benjamin J; Maak, Travis G et al. (2017) The mechanics of focal chondral defects in the hip. J Biomech 52:31-37
Maas, Steve A; Ellis, Benjamin J; Rawlins, David S et al. (2016) Finite element simulation of articular contact mechanics with quadratic tetrahedral elements. J Biomech 49:659-667
Fiorentino, Niccolo M; Kutschke, Michael J; Atkins, Penny R et al. (2016) Accuracy of Functional and Predictive Methods to Calculate the Hip Joint Center in Young Non-pathologic Asymptomatic Adults with Dual Fluoroscopy as a Reference Standard. Ann Biomed Eng 44:2168-80
Henak, C R; Abraham, C L; Peters, C L et al. (2014) Computed tomography arthrography with traction in the human hip for three-dimensional reconstruction of cartilage and the acetabular labrum. Clin Radiol 69:e381-91

Showing the most recent 10 out of 11 publications