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...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59427/ http://psasir.upm.edu.my/id/eprint/59427/1/3D%20reconstruction%20for%20volume%20of%20interest%20in%20computed%20tomography%20laser%20mammography%20images.pdf |
| _version_ | 1848853918327504896 |
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| author | Jalalian, Afsaneh Mashohor, Syamsiah Mahmud, Rozi Saripan, M. Iqbal Ramli, Abdul Rahman Bahari, Norafida Suppiah, Subapriya Karasfi, Babak |
| author_facet | Jalalian, Afsaneh Mashohor, Syamsiah Mahmud, Rozi Saripan, M. Iqbal Ramli, Abdul Rahman Bahari, Norafida Suppiah, Subapriya Karasfi, Babak |
| author_sort | Jalalian, Afsaneh |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:01:36Z |
| format | Conference or Workshop Item |
| id | upm-59427 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:01:36Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-594272018-03-02T07:55:48Z 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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/59427/ http://psasir.upm.edu.my/id/eprint/59427/ http://psasir.upm.edu.my/id/eprint/59427/1/3D%20reconstruction%20for%20volume%20of%20interest%20in%20computed%20tomography%20laser%20mammography%20images.pdf |