DocumentCode :
2682566
Title :
Deformation Analysis of in-vivo Implant for Total Hip Arthroplasty Using Multidetector-row CT Images
Author :
Kobashi, S. ; Shibanuma, N. ; Kondo, K. ; Kurosaka, M. ; Hata, Y.
Author_Institution :
Graduate Sch. of Eng., Hyogo Univ.
fYear :
2006
fDate :
3-6 June 2006
Firstpage :
570
Lastpage :
575
Abstract :
In the field of orthopedic surgery, many types of implant have been used. Especially, revision total hip arthroplasty (THA) uses a metallic implant called support implant to reconstruct the damaged acetabulum. After the revision THA, the support implant might be deformed or be broken in serious cases by the strong load or by the other factors. However, there are few effective diagnosing methods for evaluating the 3-D deformation of the support implant in vivo. This study proposes a novel approach for finding the deformation of the support implant in vivo. The proposed method uses multidetector-row CT images to take the 3-D shape of the support implant, and employs the combination of finite element method (FEM) and genetic algorithm (GA). The new combination gives us the new application of FEM. The proposed system was evaluated by computer-simulation experiment, and the effective of the system was demonstrated by applying it to the revision THA patient
Keywords :
computerised tomography; deformation; finite element analysis; genetic algorithms; medical image processing; patient treatment; deformation analysis; finite element method; genetic algorithm; in-vivo implant; multidetector-row CT images; orthopedic surgery; total hip arthroplasty; Computed tomography; Finite element methods; Genetic algorithms; Hip; Image analysis; Image reconstruction; Implants; In vivo; Orthopedic surgery; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0363-4
Electronic_ISBN :
1-4244-0363-4
Type :
conf
DOI :
10.1109/NAFIPS.2006.365472
Filename :
4216865
Link To Document :
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