Automated cystic mass extraction from ultrasound phantom images

The aim of this work is to automatically extract Cystic Masses from Ultrasound Phantom images and improve the efficiency of interpretation using Computer-Aided Detection. To make it a general algorithm, 6 most popular ultrasound machines were selected and following parameters were swept: modes of op...

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Main Authors: Khatib, Farzan, Mahmud, Rozi, Mashohor, Syamsiah, Saripan, M. Iqbal, Raja Abdullah, Raja Syamsul Azmir
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/40594/1/Automated%20cystic%20mass%20extraction%20from%20ultrasound%20phantom%20images.pdf
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author Khatib, Farzan
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
author_facet Khatib, Farzan
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
author_sort Khatib, Farzan
collection UPM
description The aim of this work is to automatically extract Cystic Masses from Ultrasound Phantom images and improve the efficiency of interpretation using Computer-Aided Detection. To make it a general algorithm, 6 most popular ultrasound machines were selected and following parameters were swept: modes of operation, transducer, frequency and contrast, while making phantom images. Ultrasound images were acquired using a quality multi tissue Ultrasound Phantom in B-Mode. Gamma corrections, contrast stretching, filtering and morphological Image Processing were among the steps that were applied to find the output image. Two experienced radiologists marked final images. Statistical analysis of results showed a sensitivity of 99% and accuracy of 98% for proposed framework. As a side result based on the actual depth of each image, processing time were also decreased.
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spelling upm.eprints-405942016-09-30T01:12:57Z http://psasir.upm.edu.my/id/eprint/40594/ Automated cystic mass extraction from ultrasound phantom images Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir The aim of this work is to automatically extract Cystic Masses from Ultrasound Phantom images and improve the efficiency of interpretation using Computer-Aided Detection. To make it a general algorithm, 6 most popular ultrasound machines were selected and following parameters were swept: modes of operation, transducer, frequency and contrast, while making phantom images. Ultrasound images were acquired using a quality multi tissue Ultrasound Phantom in B-Mode. Gamma corrections, contrast stretching, filtering and morphological Image Processing were among the steps that were applied to find the output image. Two experienced radiologists marked final images. Statistical analysis of results showed a sensitivity of 99% and accuracy of 98% for proposed framework. As a side result based on the actual depth of each image, processing time were also decreased. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40594/1/Automated%20cystic%20mass%20extraction%20from%20ultrasound%20phantom%20images.pdf Khatib, Farzan and Mahmud, Rozi and Mashohor, Syamsiah and Saripan, M. Iqbal and Raja Abdullah, Raja Syamsul Azmir (2012) Automated cystic mass extraction from ultrasound phantom images. In: Asia Modelling Symposium 2012 (AMS 2012), the 6th Asia International Conference on Mathematical Modelling and Computer Simulation, 29-31 May 2012, Kuala Lumpur, Malaysia and Bali, Indonesia. (pp. 54-58). 10.1109/AMS.2012.36
spellingShingle Khatib, Farzan
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
Automated cystic mass extraction from ultrasound phantom images
title Automated cystic mass extraction from ultrasound phantom images
title_full Automated cystic mass extraction from ultrasound phantom images
title_fullStr Automated cystic mass extraction from ultrasound phantom images
title_full_unstemmed Automated cystic mass extraction from ultrasound phantom images
title_short Automated cystic mass extraction from ultrasound phantom images
title_sort automated cystic mass extraction from ultrasound phantom images
url http://psasir.upm.edu.my/id/eprint/40594/1/Automated%20cystic%20mass%20extraction%20from%20ultrasound%20phantom%20images.pdf
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