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...
Saved in:
Main Authors: | , , , , |
---|---|
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 http://psasir.upm.edu.my/id/eprint/40594/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.upm.eprints.40594 |
---|---|
record_format |
eprints |
spelling |
my.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 |
institution |
Universiti Putra Malaysia |
building |
UPM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Putra Malaysia |
content_source |
UPM Institutional Repository |
url_provider |
http://psasir.upm.edu.my/ |
language |
English |
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. |
format |
Conference or Workshop Item |
author |
Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir |
spellingShingle |
Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir Automated cystic mass extraction from ultrasound phantom images |
author_facet |
Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir |
author_sort |
Khatib, Farzan |
title |
Automated cystic mass extraction from ultrasound phantom images |
title_short |
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_sort |
automated cystic mass extraction from ultrasound phantom images |
publisher |
IEEE |
publishDate |
2012 |
url |
http://psasir.upm.edu.my/id/eprint/40594/1/Automated%20cystic%20mass%20extraction%20from%20ultrasound%20phantom%20images.pdf http://psasir.upm.edu.my/id/eprint/40594/ |
_version_ |
1643832760748474368 |
score |
13.211869 |