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3D reconstruction for volume of interest in computed tomography laser mammography images

Computer assisted diagnosis systems (CADs) is now commonly used as a second opinion to help radiologists in image interpretation by emphasizing on the suspicious areas. Segmentation of region of interests in 2-dimensional (2D) or volume of interests in 3-dimensional (3D) images is a critical step in...

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Main Authors: Jalalian, Afsaneh, Mashohor, Syamsiah, Mahmud, Rozi, Saripan, M. Iqbal, Ramli, Abdul Rahman, Bahari, Norafida, Suppiah, Subapriya, Karasfi, Babak
Format: Conference or Workshop Item
Language:English
Published: IEEE 2015
Online Access:http://psasir.upm.edu.my/id/eprint/59427/1/3D%20reconstruction%20for%20volume%20of%20interest%20in%20computed%20tomography%20laser%20mammography%20images.pdf
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spelling oai:psasir.upm.edu.my:59427 http://psasir.upm.edu.my/id/eprint/59427/ 3D reconstruction for volume of interest in computed tomography laser mammography images Jalalian, Afsaneh Mashohor, Syamsiah Mahmud, Rozi Saripan, M. Iqbal Ramli, Abdul Rahman Bahari, Norafida Suppiah, Subapriya Karasfi, Babak Computer assisted diagnosis systems (CADs) is now commonly used as a second opinion to help radiologists in image interpretation by emphasizing on the suspicious areas. Segmentation of region of interests in 2-dimensional (2D) or volume of interests in 3-dimensional (3D) images is a critical step in CAD systems. 3D image segmentation using 2D slices has been a keen of interest for research purpose. In this paper we propose to reconstruct a 3D form of volume of interests (VOIs) from a series of 2D images in computed tomography laser mammography (CTLM). In this paper, a 3D Fuzzy C-Means clustering have been implemented to reconstruct VOIs for breast cancer detection in CTLM images. To assess the accuracy of the extracted VOIs against ground truth, percentage error factor is used and produced error value of 10.72% in our dataset of 62 CTLM breast images collected among Malaysian participants. IEEE 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59427/1/3D%20reconstruction%20for%20volume%20of%20interest%20in%20computed%20tomography%20laser%20mammography%20images.pdf Jalalian, Afsaneh and Mashohor, Syamsiah and Mahmud, Rozi and Saripan, M. Iqbal and Ramli, Abdul Rahman and Bahari, Norafida and Suppiah, Subapriya and Karasfi, Babak (2015) 3D reconstruction for volume of interest in computed tomography laser mammography images. In: 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES 2015), 4 Nov. 2015, UiTM Shah Alam, Selangor. (pp. 16-20). 10.1109/ISSBES.2015.7435885
institution UPM IR
collection UPM IR
language English
description Computer assisted diagnosis systems (CADs) is now commonly used as a second opinion to help radiologists in image interpretation by emphasizing on the suspicious areas. Segmentation of region of interests in 2-dimensional (2D) or volume of interests in 3-dimensional (3D) images is a critical step in CAD systems. 3D image segmentation using 2D slices has been a keen of interest for research purpose. In this paper we propose to reconstruct a 3D form of volume of interests (VOIs) from a series of 2D images in computed tomography laser mammography (CTLM). In this paper, a 3D Fuzzy C-Means clustering have been implemented to reconstruct VOIs for breast cancer detection in CTLM images. To assess the accuracy of the extracted VOIs against ground truth, percentage error factor is used and produced error value of 10.72% in our dataset of 62 CTLM breast images collected among Malaysian participants.
format Conference or Workshop Item
author Jalalian, Afsaneh
Mashohor, Syamsiah
Mahmud, Rozi
Saripan, M. Iqbal
Ramli, Abdul Rahman
Bahari, Norafida
Suppiah, Subapriya
Karasfi, Babak
spellingShingle Jalalian, Afsaneh
Mashohor, Syamsiah
Mahmud, Rozi
Saripan, M. Iqbal
Ramli, Abdul Rahman
Bahari, Norafida
Suppiah, Subapriya
Karasfi, Babak
3D reconstruction for volume of interest in computed tomography laser mammography images
author_facet Jalalian, Afsaneh
Mashohor, Syamsiah
Mahmud, Rozi
Saripan, M. Iqbal
Ramli, Abdul Rahman
Bahari, Norafida
Suppiah, Subapriya
Karasfi, Babak
author_sort Jalalian, Afsaneh
title 3D reconstruction for volume of interest in computed tomography laser mammography images
title_short 3D reconstruction for volume of interest in computed tomography laser mammography images
title_full 3D reconstruction for volume of interest in computed tomography laser mammography images
title_fullStr 3D reconstruction for volume of interest in computed tomography laser mammography images
title_full_unstemmed 3D reconstruction for volume of interest in computed tomography laser mammography images
title_sort 3d reconstruction for volume of interest in computed tomography laser mammography images
publisher IEEE
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/59427/1/3D%20reconstruction%20for%20volume%20of%20interest%20in%20computed%20tomography%20laser%20mammography%20images.pdf
_version_ 1819297942745382912
score 13.4562235

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