title: Breast cancer detection from MR images through an auto-probing discrete Fourier transform system.
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.
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia. Electronic address: kssim@mmu.edu.my.
authors.forename: K S
authors.initials: KS
authors.lastname: Sim
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: F K
authors.initials: FK
authors.lastname: Chia
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: M E
authors.initials: ME
authors.lastname: Nia
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: C P
authors.initials: CP
authors.lastname: Tso
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: A K
authors.initials: AK
authors.lastname: Chong
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: Siti Fathimah
authors.initials: SF
authors.lastname: Abbas
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Malacca, Malaysia.
authors.forename: S S
authors.initials: SS
authors.lastname: Chong
mesh_terms: D000328:Adult; D000368:Aged; D001940:Breast / Q000473:pathology; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged
keywords: Breast cancer detection; Discrete fourier transform; Lesion segmentation; Magnetic resonance imaging