Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/292
Title: Wavelet-based feature extraction applied to small-angle x-ray scattering patterns from breast tissue: a tool for differentiating between tissue types
Contributor(s): Falzon, G (author)orcid ; Pearson, SJ (author); Murison, RD (author); Hall, C (author); Siu, K (author); Evans, A (author); Rogers, K (author); Lewis, R (author)
Publication Date: 2006
Open Access: Yes
DOI: 10.1088/0031-9155/51/10/007
Handle Link: https://hdl.handle.net/1959.11/292
Abstract: This paper reports on the application of wavelet decomposition to small-angle x-ray scattering (SAXS) patterns from human breast tissue produced by a synchrotron source. The pixel intensities of SAXS patterns of normal, benign and malignant tissue types were transformed into wavelet coefficients. Statistical analysis found significant differences between the wavelet coefficients describing the patterns produced by different tissue types. These differences were then correlated with position in the image and have been linked to the supra-molecular structural changes that occur in breast tissue in the presence of disease. Specifically, results indicate that there are significant differences between healthy and diseased tissues in the wavelet coefficients that describe the peaks produced by the axial d-spacing of collagen. These differences suggest that a useful classification tool could be based upon the spectral information within the axial peaks.
Publication Type: Journal Article
Source of Publication: Physics in Medicine and Biology, 51(10), p. 2465-2477
Publisher: IOP Publishing Ltd
Place of Publication: Bristol, England
ISSN: 0031-9155
Field of Research (FOR): 100402 Medical Biotechnology Diagnostics (incl Biosensors)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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