Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

Saidin, Nafiza and Mat Sakim, Harsa Amylia and Ngah, Umi Kalthum and Lutfi Shuaib, Ibrahim (2013) Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts. Computational and Mathematical Methods in Medicine, 2013 (205384). pp. 1-13. ISSN 1748-670X

[img]
Preview
PDF
Download (3MB) | Preview

Abstract

Breast cancer mostly arises from the glandular (dense) region of the breast. Consequently, breast density has been found to be a strong indicator for breast cancer risk.Therefore, there is a need to develop a systemwhich can segment or classify dense breast areas. In a dense breast, the sensitivity of mammography for the early detection of breast cancer is reduced. It is difficult to detect a mass in a breast that is dense.Therefore, a computerized method to separate the existence of a mass from the glandular tissues becomes an important task.Moreover, if the segmentation results provide more precise demarcation enabling the visualization of the breast anatomical regions, it could also assist in the detection of architectural distortion or asymmetry. This study attempts to segment the dense areas of the breast and the existence of a mass and to visualize other breast regions (skin-air interface, uncompressed fat, compressed fat, and glandular) in a system.The graph cuts (GC) segmentation technique is proposed. Multiselection of seed labels has been chosen to provide the hard constraint for segmentation of the different parts.The results are promising. A strong correlation (

Item Type: Article
Subjects: R Medicine > RK Dentistry > RK1-715 Dentistry
T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions: Institut Perubatan & Pergigian Termaju (Advanced Medical & Dental Institute) > Article
Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Article
Zoom Profil Pakar (Expert Profile) > Professor Dr. Ibrahim Lutfi Shuaib (Advanced Medical & Dental Institute)
Depositing User: Mr Noorazilan Noordin
Date Deposited: 23 Jan 2018 04:36
Last Modified: 23 Jan 2018 04:36
URI: http://eprints.usm.my/id/eprint/38478

Actions (login required)

View Item View Item
Share