Breast cancer detection from MR images through an auto-probing discrete Fourier transform system

Sim, K. S. and Tso, C. P. and Chong, S. S. and Abbas, Siti Fathimah and Chong, A. K. and Nia, M. E. and Chia, F. K. (2014) Breast cancer detection from MR images through an auto-probing discrete Fourier transform system. Computers in Biology and Medicine, 49 (1). pp. 46-59. ISSN 1879-0534

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Abstract

A computer-aided detection auto-probing (CADAP) system is presented for detecting breast lesions using dynamic contrast enhanced magnetic resonance imaging, through a spatial-based discrete Fourier transform. The stand-alone CADAP system reduces noise, refines region of interest (ROI) automatically, and detects the breast lesion with minimal false positive detection. The lesions are then classified and colourised according to their characteristics, whether benign, suspicious or malignant. To enhance the visualisation, the entire analysed ROI is constructed into a 3-D image, so that the user can diagnose based on multiple views on the ROI. The proposed method has been applied to 101 sets of digital images, and the results compared with the biopsy results done by radiologists. The proposed scheme is able to identify breast cancer regions accurately and efficiently. © 2014 Elsevier Ltd.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 02 Jun 2014 09:59
Last Modified: 02 Jun 2014 09:59
URI: http://shdl.mmu.edu.my/id/eprint/5496

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