Non-invasive early diagnosis of deep vein thrombosis

Deep Vein Thrombosis (DVT) is a blood clot that forms in deep veins which commonly occur in lower limb or thigh. The blood clot blocks deep vein and can travel to lung and block pulmonary arteries. This condition will cause fatal Pulmonary Embolism (PE). DVT can be diagnosed using non-invasive techn...

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Main Author:	Zainal Abidin, Ahmad Noor Ariff
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	R Medicine (General) T Technology (General)
Online Access:	http://eprints.uthm.edu.my/1282/2/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1282/1/24p%20AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN.pdf http://eprints.uthm.edu.my/1282/3/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20WATERMARK.pdf
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id	my-uthm-ep.1282
record_format	uketd_dc
spelling	my-uthm-ep.12822021-09-30T07:05:59Z Non-invasive early diagnosis of deep vein thrombosis 2015-06 Zainal Abidin, Ahmad Noor Ariff R Medicine (General) T Technology (General) Deep Vein Thrombosis (DVT) is a blood clot that forms in deep veins which commonly occur in lower limb or thigh. The blood clot blocks deep vein and can travel to lung and block pulmonary arteries. This condition will cause fatal Pulmonary Embolism (PE). DVT can be diagnosed using non-invasive technique such as ultrasonography. One of the factors that cause the deep vein thrombosis occurs is the behaviour of vein valve. Therefore, the movement of vein valve needs to track to make further analysis of its behaviour for early detection of Deep Vein Thrombosis system. The aim of this project is to track the vein valve movement for early diagnosis of DVT. Distance between two nearest pixels with value 1 and reference line is proposed to be the method to track vein valve movement. The idea of this technique is the smallest distance of nearest pixels to reference line means the vein valve is closed. The distance for each differencing frame is plotted to see the sequence of distance pattern of vein valve closure. Baseline is created via observation (eye) method for experimental programme. The percentage difference between vein valve closure times of result from automatic tracking and baseline is 3.57%. Therefore, it showed that the proposed method is applicable and able to tracking the vein valve movement. 2015-06 Thesis http://eprints.uthm.edu.my/1282/ http://eprints.uthm.edu.my/1282/2/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1282/1/24p%20AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN.pdf text en public http://eprints.uthm.edu.my/1282/3/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	R Medicine (General) T Technology (General)
spellingShingle	R Medicine (General) T Technology (General) Zainal Abidin, Ahmad Noor Ariff Non-invasive early diagnosis of deep vein thrombosis
description	Deep Vein Thrombosis (DVT) is a blood clot that forms in deep veins which commonly occur in lower limb or thigh. The blood clot blocks deep vein and can travel to lung and block pulmonary arteries. This condition will cause fatal Pulmonary Embolism (PE). DVT can be diagnosed using non-invasive technique such as ultrasonography. One of the factors that cause the deep vein thrombosis occurs is the behaviour of vein valve. Therefore, the movement of vein valve needs to track to make further analysis of its behaviour for early detection of Deep Vein Thrombosis system. The aim of this project is to track the vein valve movement for early diagnosis of DVT. Distance between two nearest pixels with value 1 and reference line is proposed to be the method to track vein valve movement. The idea of this technique is the smallest distance of nearest pixels to reference line means the vein valve is closed. The distance for each differencing frame is plotted to see the sequence of distance pattern of vein valve closure. Baseline is created via observation (eye) method for experimental programme. The percentage difference between vein valve closure times of result from automatic tracking and baseline is 3.57%. Therefore, it showed that the proposed method is applicable and able to tracking the vein valve movement.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Zainal Abidin, Ahmad Noor Ariff
author_facet	Zainal Abidin, Ahmad Noor Ariff
author_sort	Zainal Abidin, Ahmad Noor Ariff
title	Non-invasive early diagnosis of deep vein thrombosis
title_short	Non-invasive early diagnosis of deep vein thrombosis
title_full	Non-invasive early diagnosis of deep vein thrombosis
title_fullStr	Non-invasive early diagnosis of deep vein thrombosis
title_full_unstemmed	Non-invasive early diagnosis of deep vein thrombosis
title_sort	non-invasive early diagnosis of deep vein thrombosis
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronic Engineering
publishDate	2015
url	http://eprints.uthm.edu.my/1282/2/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1282/1/24p%20AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN.pdf http://eprints.uthm.edu.my/1282/3/AHMAD%20NOOR%20ARIFF%20ZAINAL%20ABIDIN%20WATERMARK.pdf
_version_	1747830762860707840

Non-invasive early diagnosis of deep vein thrombosis

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