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Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters

The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neu...

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Main Authors: R., Daud, Suaidah, S., Mohammed Rafiq, Abdul Kadir, Sudin, Izman, Mas Ayu, Hassan, Hanumantharao, Balaji Raghavendran, Tunku, Kamarul
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf
http://umpir.ump.edu.my/id/eprint/11174/
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spelling my.ump.umpir.111742018-01-31T06:58:42Z http://umpir.ump.edu.my/id/eprint/11174/ Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters R., Daud Suaidah, S. Mohammed Rafiq, Abdul Kadir Sudin, Izman Mas Ayu, Hassan Hanumantharao, Balaji Raghavendran Tunku, Kamarul TJ Mechanical engineering and machinery The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neural network (ANN) prediction of talus morphometrics. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the performance of the NTI with the three different kind of current talus implant designs. The study demonstrates that not all current talus implant are perfect match for this particular population. While, the ANN method showed a greater capacity of prediction regarding on the low percentage of error and high correlative values with the measurements obtained through Computer Tomographic (CT) scan. ANN is highly accurate predictive methods and has the potential to be used as assisting tools in designing talus implant. For FEM results, only BOX and NTI exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf R., Daud and Suaidah, S. and Mohammed Rafiq, Abdul Kadir and Sudin, Izman and Mas Ayu, Hassan and Hanumantharao, Balaji Raghavendran and Tunku, Kamarul (2015) Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters. In: World Bio Summit & Expo 2015, 1-5 Nov 2015 , Dubai. . (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
R., Daud
Suaidah, S.
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
description The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neural network (ANN) prediction of talus morphometrics. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the performance of the NTI with the three different kind of current talus implant designs. The study demonstrates that not all current talus implant are perfect match for this particular population. While, the ANN method showed a greater capacity of prediction regarding on the low percentage of error and high correlative values with the measurements obtained through Computer Tomographic (CT) scan. ANN is highly accurate predictive methods and has the potential to be used as assisting tools in designing talus implant. For FEM results, only BOX and NTI exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population.
format Conference or Workshop Item
author R., Daud
Suaidah, S.
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
author_facet R., Daud
Suaidah, S.
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
author_sort R., Daud
title Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_short Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_full Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_fullStr Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_full_unstemmed Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_sort deveploment of novel talus implant based on artificial neural network prediction of talus morphological parameters
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf
http://umpir.ump.edu.my/id/eprint/11174/
_version_ 1643666597050580992
score 13.211869

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