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Mechanics analysis on knee joint after virtual replacement / 中国组织工程研究
Chinese Journal of Tissue Engineering Research ; (53): 8974-8980, 2013.
Article in Chinese | WPRIM | ID: wpr-671714
ABSTRACT

BACKGROUND:

Simulative dynamics provides advantages of repeatable and non-invasive to a model. Additional y, structural model of individualism improves the reliability of Finite Elemental Analysis. It is an optimal attempt to analyze mechanics of knee joint after virtual replacement surgery.

OBJECTIVE:

To achieve dynamic information of contact stress upon knee joint surface by finite element analysis surgery for total knee arthroplasty postoperatively, and to provide objective data for further“surgery plan”.

METHODS:

After scanning affected knee joint by CT/MR and scanning knee prosthesis by laser instrument, a model composed of prosthesis, knee joint as wel as its ligament was rebuilt computational y;dynamic lines were measured. After prosthesis instal ation&osteotomy performed by facility of Simulation in Mimics according to knee joint replacement standard, this model was imported into ANSYS so as for Meshing, Material assignment, load applied. Stress distribution was analyzed by Finite Element Method. RESULTS AND

CONCLUSION:

The best finite element model of postoperative TKA 3D knee joint was obtained;dynamic data were tested to be approximately agreeable to those previous studies of direct measurement upon prosthesis. The experiment of analyzing structural deformation, stress distribution&internal energy change benefits to search the best position for prosthesis instal ation, osteotomy and surgical result prediction. Thus, these are indispensable data in surgery plan.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2013 Type: Article