Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images

Ultrasound imaging is a cost-effective diagnostic tool to imagine the internal organisms of human beings that used routinely in the diagnosis of a number of diseases related to ligament, tendon, bone, blood flow estimation, obstetrics, etc. However, ultrasound imaging has limitations such as homogen...

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Main Authors:	Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Kumar, A.
Format:	Article
Published:	Asian Research Publishing Network 2016
Subjects:	R Medicine
Online Access:	http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0716_4710.pdf http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0716_4710.pdf http://eprints.um.edu.my/17892/1/Singh%2C_V._(2016).pdf

id	um-17892
recordtype	eprints
spelling	um-178922017-10-05T06:15:56Z Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images Singh, V. Elamvazuthi, I. Jeoti, V. George, J. Kumar, A. R Medicine Ultrasound imaging is a cost-effective diagnostic tool to imagine the internal organisms of human beings that used routinely in the diagnosis of a number of diseases related to ligament, tendon, bone, blood flow estimation, obstetrics, etc. However, ultrasound imaging has limitations such as homogenous intensity regions, homogeneous textures, low contrast regions, enhancement artefact, limited view visualization and inaccurate qualitative/quantitative estimation. To overcome all these investigated problems, this research developed a Computer Aided Diagnosis (CAD) system that helps in efficient segmentation and Three Dimensional (3D) reconstruction of calcaneofibular ligament to enhance the diagnosis. The developed CAD system would help in the achievement of enhanced segmentation results, 3D reconstruction results and statistical analysis of the injured calcaneofibular ligament. Moreover, performance of the developed CAD system is analyzed based on the obtained results, which are indicates the improved performance with more than 92% accurate segmentation and precisely determined 3D measurements such as volume, thickness and roughness. In addition, this research opens new research dimensions for efficient musculoskeletal ultrasound modelling that makes it useful in clinical settings with accurate and cost effective diagnosis of calcaneofibular ligament injuries. Asian Research Publishing Network 2016 Article PeerReviewed application/pdf http://eprints.um.edu.my/17892/1/Singh%2C_V._(2016).pdf http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0716_4710.pdf Singh, V.; Elamvazuthi, I.; Jeoti, V.; George, J.; Kumar, A. (2016) Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images. ARPN Journal of Engineering and Applied Sciences <http://eprints.um.edu.my/view/publication/ARPN_Journal_of_Engineering_and_Applied_Sciences.html>, 11 (14). pp. 8972-8977. ISSN 1819-6608 http://eprints.um.edu.my/17892/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	R Medicine
spellingShingle	R Medicine Singh, V. Elamvazuthi, I. Jeoti, V. George, J. Kumar, A. Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
description	Ultrasound imaging is a cost-effective diagnostic tool to imagine the internal organisms of human beings that used routinely in the diagnosis of a number of diseases related to ligament, tendon, bone, blood flow estimation, obstetrics, etc. However, ultrasound imaging has limitations such as homogenous intensity regions, homogeneous textures, low contrast regions, enhancement artefact, limited view visualization and inaccurate qualitative/quantitative estimation. To overcome all these investigated problems, this research developed a Computer Aided Diagnosis (CAD) system that helps in efficient segmentation and Three Dimensional (3D) reconstruction of calcaneofibular ligament to enhance the diagnosis. The developed CAD system would help in the achievement of enhanced segmentation results, 3D reconstruction results and statistical analysis of the injured calcaneofibular ligament. Moreover, performance of the developed CAD system is analyzed based on the obtained results, which are indicates the improved performance with more than 92% accurate segmentation and precisely determined 3D measurements such as volume, thickness and roughness. In addition, this research opens new research dimensions for efficient musculoskeletal ultrasound modelling that makes it useful in clinical settings with accurate and cost effective diagnosis of calcaneofibular ligament injuries.
format	Article
author	Singh, V. Elamvazuthi, I. Jeoti, V. George, J. Kumar, A.
author_facet	Singh, V. Elamvazuthi, I. Jeoti, V. George, J. Kumar, A.
author_sort	Singh, V.
title	Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
title_short	Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
title_full	Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
title_fullStr	Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
title_full_unstemmed	Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images
title_sort	computer aided diagnosis (cad) tool for the analysis of calcaneofibular ligament using ultrasonographic images
publisher	Asian Research Publishing Network
publishDate	2016
url	http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0716_4710.pdf http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0716_4710.pdf http://eprints.um.edu.my/17892/1/Singh%2C_V._(2016).pdf
first_indexed	2018-09-06T06:45:59Z
last_indexed	2018-09-06T06:45:59Z
_version_	1610839605030944768

Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images

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