Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi

In minimal invasive orthopedic procedure such as distal locking, a lot of surgeon's time is usually wasted to determine the hole's position of intramedullary rod before screw can be insert at desire place. Often patient expose to x-ray until the surgeon get it right. The gap between manual...

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Main Author:	Mohd Ziyadi, Ahmad Zulhilmi
Format:	Thesis
Language:	English
Published:	2014
Online Access:	http://ir.uitm.edu.my/id/eprint/17408/ http://ir.uitm.edu.my/id/eprint/17408/2/TM_AHMAD%20ZULHILMI%20MOHD%20ZIYADI%20EM%2014_5.pdf

id	uitm-17408
recordtype	eprints
spelling	uitm-174082018-10-25T06:44:44Z http://ir.uitm.edu.my/id/eprint/17408/ Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi Mohd Ziyadi, Ahmad Zulhilmi In minimal invasive orthopedic procedure such as distal locking, a lot of surgeon's time is usually wasted to determine the hole's position of intramedullary rod before screw can be insert at desire place. Often patient expose to x-ray until the surgeon get it right. The gap between manual distal locking procedure and fully automatic distal locking procedure is huge. The biggest and hardest is the system must able to recognize an X-ray image and all the relevant content inside it. Therefore to close the gap between manual and automatic, automatic image recognition system using machine vision algorithm must be developed. To obtain the intramedullary rod's holes screw coordinate (X, Y, Z) in cost effective and reasonable real time period using machine vision. Taken into account this is early research period, real surgery x-ray image is not use because of complexity and uncertainty involved. Therefore simulated x-ray image is use in control lab environment. This research is to automatically determine the holes position, distance and orientation of intramedullary rod in distal locking procedure by using in-process 3D machine vision image recognition system. It is achieve by using special algorithm that detect holes 2D coordinates and average width of intramedullary rod. After that the algorithm converting the average width value to Z-coordinate. Angle Z and angle Y are than determined through the X,Y,Z coordinates obtain earlier. 2014 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/17408/2/TM_AHMAD%20ZULHILMI%20MOHD%20ZIYADI%20EM%2014_5.pdf Mohd Ziyadi, Ahmad Zulhilmi (2014) Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	In minimal invasive orthopedic procedure such as distal locking, a lot of surgeon's time is usually wasted to determine the hole's position of intramedullary rod before screw can be insert at desire place. Often patient expose to x-ray until the surgeon get it right. The gap between manual distal locking procedure and fully automatic distal locking procedure is huge. The biggest and hardest is the system must able to recognize an X-ray image and all the relevant content inside it. Therefore to close the gap between manual and automatic, automatic image recognition system using machine vision algorithm must be developed. To obtain the intramedullary rod's holes screw coordinate (X, Y, Z) in cost effective and reasonable real time period using machine vision. Taken into account this is early research period, real surgery x-ray image is not use because of complexity and uncertainty involved. Therefore simulated x-ray image is use in control lab environment. This research is to automatically determine the holes position, distance and orientation of intramedullary rod in distal locking procedure by using in-process 3D machine vision image recognition system. It is achieve by using special algorithm that detect holes 2D coordinates and average width of intramedullary rod. After that the algorithm converting the average width value to Z-coordinate. Angle Z and angle Y are than determined through the X,Y,Z coordinates obtain earlier.
format	Thesis
author	Mohd Ziyadi, Ahmad Zulhilmi
spellingShingle	Mohd Ziyadi, Ahmad Zulhilmi Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
author_facet	Mohd Ziyadi, Ahmad Zulhilmi
author_sort	Mohd Ziyadi, Ahmad Zulhilmi
title	Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
title_short	Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
title_full	Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
title_fullStr	Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
title_full_unstemmed	Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
title_sort	computer algorithm for automated detection of intramedullary rod hole position and orientation / ahmad zulhilmi mohd ziyadi
publishDate	2014
url	http://ir.uitm.edu.my/id/eprint/17408/ http://ir.uitm.edu.my/id/eprint/17408/2/TM_AHMAD%20ZULHILMI%20MOHD%20ZIYADI%20EM%2014_5.pdf
first_indexed	2023-09-18T22:58:15Z
last_indexed	2023-09-18T22:58:15Z
_version_	1777417998973272064

Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi

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