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Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm

Nowadays, the growth of health care quality awareness lead to the advancement of the medical technologies, especially for surgery technologies. In the field of computer vision, tracking of the tissues and internal organs (TDOD) movements have been beneficial to many surgical technologies such as com...

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Main Authors:	Rohana, Abdul Karim, Mohd Marzuki, Mustafa, Mohd Asyraf, Zulkifley
Format:	Article
Language:	English
Published:	UTeM 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21009/1/Tracking%20of%20Tissue%20Movement%20Using%20DistanceWeighted.pdf http://umpir.ump.edu.my/id/eprint/21009/ http://journal.utem.edu.my/index.php/jtec/article/view/3343/2420
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id	my.ump.umpir.21009
record_format	eprints
spelling	my.ump.umpir.210092018-08-20T04:28:17Z http://umpir.ump.edu.my/id/eprint/21009/ Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm Rohana, Abdul Karim Mohd Marzuki, Mustafa Mohd Asyraf, Zulkifley TK Electrical engineering. Electronics Nuclear engineering Nowadays, the growth of health care quality awareness lead to the advancement of the medical technologies, especially for surgery technologies. In the field of computer vision, tracking of the tissues and internal organs (TDOD) movements have been beneficial to many surgical technologies such as computer-assisted surgery and minimally invasive surgery. TDOD tracking poses a challenging task due to the nature characteristic of TDOD which mainly has a homogenous surface and texture. We proposed a feature point tracking algorithm based on hypothesis testing t-test as a novel technique for TDOD tracking. This algorithm is based on the distance weighted log ratio t-test similarity measurement. The algorithm has been tested and showed it can perform better compared with existing methods in all the test datasets. UTeM 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/21009/1/Tracking%20of%20Tissue%20Movement%20Using%20DistanceWeighted.pdf Rohana, Abdul Karim and Mohd Marzuki, Mustafa and Mohd Asyraf, Zulkifley (2018) Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-2). pp. 147-153. ISSN 2180-1843 (Print); 2289-8131 (Online) http://journal.utem.edu.my/index.php/jtec/article/view/3343/2420
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	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Rohana, Abdul Karim Mohd Marzuki, Mustafa Mohd Asyraf, Zulkifley Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
description	Nowadays, the growth of health care quality awareness lead to the advancement of the medical technologies, especially for surgery technologies. In the field of computer vision, tracking of the tissues and internal organs (TDOD) movements have been beneficial to many surgical technologies such as computer-assisted surgery and minimally invasive surgery. TDOD tracking poses a challenging task due to the nature characteristic of TDOD which mainly has a homogenous surface and texture. We proposed a feature point tracking algorithm based on hypothesis testing t-test as a novel technique for TDOD tracking. This algorithm is based on the distance weighted log ratio t-test similarity measurement. The algorithm has been tested and showed it can perform better compared with existing methods in all the test datasets.
format	Article
author	Rohana, Abdul Karim Mohd Marzuki, Mustafa Mohd Asyraf, Zulkifley
author_facet	Rohana, Abdul Karim Mohd Marzuki, Mustafa Mohd Asyraf, Zulkifley
author_sort	Rohana, Abdul Karim
title	Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
title_short	Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
title_full	Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
title_fullStr	Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
title_full_unstemmed	Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
title_sort	tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
publisher	UTeM
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21009/1/Tracking%20of%20Tissue%20Movement%20Using%20DistanceWeighted.pdf http://umpir.ump.edu.my/id/eprint/21009/ http://journal.utem.edu.my/index.php/jtec/article/view/3343/2420
_version_	1643669028055547904
score	13.211869

Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm

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