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Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes

Ultrasound image segmentation is still a challenging issue in various applications to extract the meaningful information for disease diagnosis in the athletes. Generally, ultrasound images could be suffering from some problems such as speckle, attenuation, signal dropout and shadows which make the s...

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Main Authors: Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Kumar, D.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011954453&doi=10.1109%2fICIAS.2016.7824114&partnerID=40&md5=a9aada9729849285766284a2f9f00f8d
http://eprints.utp.edu.my/20240/
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spelling my.utp.eprints.202402018-04-22T14:46:48Z Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes Singh, V. Elamvazuthi, I. Jeoti, V. George, J. Kumar, D. Ultrasound image segmentation is still a challenging issue in various applications to extract the meaningful information for disease diagnosis in the athletes. Generally, ultrasound images could be suffering from some problems such as speckle, attenuation, signal dropout and shadows which make the segmentation process more complicated and inefficient. Due to these problems, traditional segmentation approaches could not be applicable. To overcome these problems, the current study proposed an automatic multilevel segmentation framework for ankle Anterior Talofibular Ligament (ATFL). This framework used the association of active contour and the particle swarm optimization method with curve evaluation and energy minimization capability to obtain the optimized segmented outcomes. It would be more efficiently detect the ATFL ligament in ultrasound images with better interpretation capability. Finally, this study presents various experimental segmented outcomes and corresponding analysis. On the basis of this analysis, the average sensitivity, specificity and accuracy of the proposed framework would be 80.73 , 96.57 and 94.12 respectively. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011954453&doi=10.1109%2fICIAS.2016.7824114&partnerID=40&md5=a9aada9729849285766284a2f9f00f8d Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Kumar, D. (2017) Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20240/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Ultrasound image segmentation is still a challenging issue in various applications to extract the meaningful information for disease diagnosis in the athletes. Generally, ultrasound images could be suffering from some problems such as speckle, attenuation, signal dropout and shadows which make the segmentation process more complicated and inefficient. Due to these problems, traditional segmentation approaches could not be applicable. To overcome these problems, the current study proposed an automatic multilevel segmentation framework for ankle Anterior Talofibular Ligament (ATFL). This framework used the association of active contour and the particle swarm optimization method with curve evaluation and energy minimization capability to obtain the optimized segmented outcomes. It would be more efficiently detect the ATFL ligament in ultrasound images with better interpretation capability. Finally, this study presents various experimental segmented outcomes and corresponding analysis. On the basis of this analysis, the average sensitivity, specificity and accuracy of the proposed framework would be 80.73 , 96.57 and 94.12 respectively. © 2016 IEEE.
format Article
author Singh, V.
Elamvazuthi, I.
Jeoti, V.
George, J.
Kumar, D.
spellingShingle Singh, V.
Elamvazuthi, I.
Jeoti, V.
George, J.
Kumar, D.
Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
author_facet Singh, V.
Elamvazuthi, I.
Jeoti, V.
George, J.
Kumar, D.
author_sort Singh, V.
title Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
title_short Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
title_full Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
title_fullStr Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
title_full_unstemmed Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes
title_sort clinical assessment of injured ankle atfl ligaments based on ultrasound imaging in the athletes
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011954453&doi=10.1109%2fICIAS.2016.7824114&partnerID=40&md5=a9aada9729849285766284a2f9f00f8d
http://eprints.utp.edu.my/20240/
_version_ 1738656183439327232
score 13.211869

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