scholarly journals Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength

2014 ◽  
Vol 28 (4) ◽  
pp. 407-412 ◽  
Author(s):  
Gregory Chang ◽  
Alexandra Hotca-Cho ◽  
Henry Rusinek ◽  
Stephen Honig ◽  
Artem Mikheev ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Finite Element Analysis ◽  
Finite Element ◽  
Magnetic Resonance ◽  
Bone Strength ◽  
Proximal Femur ◽  
Resonance Imaging ◽  
Element Analysis ◽  
In Vivo Assessment

scholarly journals Temporal Changes in Infarct Material Properties: An In Vivo Assessment Using Magnetic Resonance Imaging and Finite Element Simulations

2015 ◽  
Vol 100 (2) ◽  
pp. 582-589 ◽  
Author(s):  
Jeremy R. McGarvey ◽  
Dimitri Mojsejenko ◽  
Shauna M. Dorsey ◽  
Amir Nikou ◽  
Jason A. Burdick ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Finite Element ◽  
Magnetic Resonance ◽  
Material Properties ◽  
Temporal Changes ◽  
Finite Element Simulations ◽  
Resonance Imaging ◽  
In Vivo Assessment

scholarly journals In-Vivo Assessment of Femoral Bone Strength Using Finite Element Analysis (FEA) Based on Routine MDCT Imaging: A Preliminary Study on Patients with Vertebral Fractures

PLoS ONE ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. e0116907 ◽  
Author(s):  
Hans Liebl ◽  
Eduardo Grande Garcia ◽  
Fabian Holzner ◽  
Peter B. Noel ◽  
Rainer Burgkart ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Bone Strength ◽  
Vertebral Fractures ◽  
Femoral Bone ◽  
Element Analysis ◽  
Preliminary Study ◽  
In Vivo Assessment ◽  
Mdct Imaging

scholarly journals Subject-Specific Finite Element Modeling of the Tibiofemoral Joint Based on CT, Magnetic Resonance Imaging and Dynamic Stereo-Radiography Data in Vivo

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Robert E. Carey ◽  
Liying Zheng ◽  
Ameet K. Aiyangar ◽  
Christopher D. Harner ◽  
Xudong Zhang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Finite Element ◽  
Magnetic Resonance ◽  
Contact Area ◽  
Resonance Imaging ◽  
Model Predictions ◽  
Subject Specific ◽  
Skeletal Kinematics ◽  
Tibiofemoral Kinematics

In this paper, we present a new methodology for subject-specific finite element modeling of the tibiofemoral joint based on in vivo computed tomography (CT), magnetic resonance imaging (MRI), and dynamic stereo-radiography (DSX) data. We implemented and compared two techniques to incorporate in vivo skeletal kinematics as boundary conditions: one used MRI-measured tibiofemoral kinematics in a nonweight-bearing supine position and allowed five degrees of freedom (excluding flexion-extension) at the joint in response to an axially applied force; the other used DSX-measured tibiofemoral kinematics in a weight-bearing standing position and permitted only axial translation in response to the same force. Verification and comparison of the model predictions employed data from a meniscus transplantation study subject with a meniscectomized and an intact knee. The model-predicted cartilage-cartilage contact areas were examined against “benchmarks” from a novel in situ contact area analysis (ISCAA) in which the intersection volume between nondeformed femoral and tibial cartilage was characterized to determine the contact. The results showed that the DSX-based model predicted contact areas in close alignment with the benchmarks, and outperformed the MRI-based model: the contact centroid predicted by the former was on average 85% closer to the benchmark location. The DSX-based FE model predictions also indicated that the (lateral) meniscectomy increased the contact area in the lateral compartment and increased the maximum contact pressure and maximum compressive stress in both compartments. We discuss the importance of accurate, task-specific skeletal kinematics in subject-specific FE modeling, along with the effects of simplifying assumptions and limitations.

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