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Johnson JE, Lee P, McIff TE, Toby EB, Fischer KJ. Computationally efficient magnetic resonance imaging based surface contact modeling as a tool to evaluate joint injuries and outcomes of surgical interventions compared to finite element modeling. J Biomech Eng. April 2014;136(4).

Publication Date
April 2014

How Analyze was Used
“Kinematics were acquired from normalized mutual image volume intensity registrations between the unloaded and loaded image volumes with subvoxel accuracy using Analyze 5.0VR (AnalyzeDirect, Overland Park, KS).”

Keywords
Contact Modeling
Finite Element Analysis
Finite Element Model
Kinematics
Magnetic Resonance Imaging (MRI)
Modeling
Performance
Pressure
Surgery
Wounds

Author Affiliation(s)
Department of Mechanical Engineering, University of Kansas, 3138 Learned Hall, Lawrence, KS 66045. (JEJ, KJF)

Hoglund Brain Imaging Center, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas, City, KS 66160. (PL)

Department of Orthopedic Surgery, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160. (TEM, EBT, KJF)

ID# 204

Tags: Contact Modeling, Finite Element Analysis, Finite-Element Model, Kinematics, Magnetic Resonance Imaging (MRI), Modeling, Performance, Pressure, Surgery, Wounds