Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters

Development of 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 talus implant for particular population was developed based on artificial neural network...

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Main Authors: R., Daud, 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/11226/
http://umpir.ump.edu.my/id/eprint/11226/1/Development%20of%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf
id ump-11226
recordtype eprints
spelling ump-112262018-01-31T06:56:29Z http://umpir.ump.edu.my/id/eprint/11226/ Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters R., Daud 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 talus implant 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 newly develop talus implant 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 newly develop talus implant 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/11226/1/Development%20of%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf R., Daud and Mohammed Rafiq, Abdul Kadir and Sudin, Izman and Mas Ayu, Hassan and Hanumantharao, Balaji Raghavendran and Tunku, Kamarul (2015) Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters. In: 1st International Conference on Materials and Manufacturing Engineering and Technology, 28-31 July 2015 , Korea. . (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
R., Daud
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
Development of 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 talus implant 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 newly develop talus implant 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 newly develop talus implant 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
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
author_facet R., Daud
Mohammed Rafiq, Abdul Kadir
Sudin, Izman
Mas Ayu, Hassan
Hanumantharao, Balaji Raghavendran
Tunku, Kamarul
author_sort R., Daud
title Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
title_short Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
title_full Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
title_fullStr Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
title_full_unstemmed Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
title_sort development of talus implant based on artificial neural network prediction of talus morphological parameters
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11226/
http://umpir.ump.edu.my/id/eprint/11226/1/Development%20of%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf
first_indexed 2023-09-18T22:11:44Z
last_indexed 2023-09-18T22:11:44Z
_version_ 1777415072565428224

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