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Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue
Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383159/ https://www.ncbi.nlm.nih.gov/pubmed/25873987 http://dx.doi.org/10.1155/2015/343217 |
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author | Chao, Chih-Feng Horng, Ming-Huwi Chen, Yu-Chan |
author_facet | Chao, Chih-Feng Horng, Ming-Huwi Chen, Yu-Chan |
author_sort | Chao, Chih-Feng |
collection | PubMed |
description | Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of in vivo ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method. |
format | Online Article Text |
id | pubmed-4383159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43831592015-04-13 Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue Chao, Chih-Feng Horng, Ming-Huwi Chen, Yu-Chan Comput Math Methods Med Research Article Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of in vivo ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method. Hindawi Publishing Corporation 2015 2015-03-19 /pmc/articles/PMC4383159/ /pubmed/25873987 http://dx.doi.org/10.1155/2015/343217 Text en Copyright © 2015 Chih-Feng Chao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chao, Chih-Feng Horng, Ming-Huwi Chen, Yu-Chan Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title | Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title_full | Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title_fullStr | Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title_full_unstemmed | Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title_short | Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue |
title_sort | motion estimation using the firefly algorithm in ultrasonic image sequence of soft tissue |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383159/ https://www.ncbi.nlm.nih.gov/pubmed/25873987 http://dx.doi.org/10.1155/2015/343217 |
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