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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| Format: | Article |
| Language: | en |
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UTeM
2018
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| 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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| _version_ | 1831525498712227840 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.21009 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2018 |
| publisher | UTeM |
| 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). (Published) http://journal.utem.edu.my/index.php/jtec/article/view/3343/2420 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |
| url_provider | http://umpir.ump.edu.my/ |