Please use this identifier to cite or link to this item:
https://hdl.handle.net/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) ; 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: | Institute of Physics Publishing Ltd | Place of Publication: | United Kingdom | ISSN: | 1361-6560 0031-9155 |
Fields of Research (FoR) 2008: | 100402 Medical Biotechnology Diagnostics (incl Biosensors) | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article |
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