Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/292
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Falzon, G | en |
dc.contributor.author | Pearson, SJ | en |
dc.contributor.author | Murison, RD | en |
dc.contributor.author | Hall, C | en |
dc.contributor.author | Siu, K | en |
dc.contributor.author | Evans, A | en |
dc.contributor.author | Rogers, K | en |
dc.contributor.author | Lewis, R | en |
dc.date.accessioned | 2008-05-13T11:23:00Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Physics in Medicine and Biology, 51(10), p. 2465-2477 | en |
dc.identifier.issn | 1361-6560 | en |
dc.identifier.issn | 0031-9155 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/292 | - |
dc.description.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. | en |
dc.language | en | en |
dc.publisher | Institute of Physics Publishing Ltd | en |
dc.relation.ispartof | Physics in Medicine and Biology | en |
dc.title | Wavelet-based feature extraction applied to small-angle x-ray scattering patterns from breast tissue: a tool for differentiating between tissue types | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1088/0031-9155/51/10/007 | en |
dcterms.accessRights | UNE Green | en |
dc.subject.keywords | Medical Biotechnology Diagnostics (incl Biosensors) | en |
local.contributor.firstname | G | en |
local.contributor.firstname | SJ | en |
local.contributor.firstname | RD | en |
local.contributor.firstname | C | en |
local.contributor.firstname | K | en |
local.contributor.firstname | A | en |
local.contributor.firstname | K | en |
local.contributor.firstname | R | en |
local.subject.for2008 | 100402 Medical Biotechnology Diagnostics (incl Biosensors) | en |
local.subject.seo | 780105 Biological sciences | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | gfalzon2@une.edu.au | en |
local.profile.email | spearson@une.edu.au | en |
local.profile.email | rmurison@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | pes:3294 | en |
local.publisher.place | United Kingdom | en |
local.format.startpage | 2465 | en |
local.format.endpage | 2477 | en |
local.identifier.scopusid | 33646474165 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 51 | en |
local.identifier.issue | 10 | en |
local.title.subtitle | a tool for differentiating between tissue types | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Falzon | en |
local.contributor.lastname | Pearson | en |
local.contributor.lastname | Murison | en |
local.contributor.lastname | Hall | en |
local.contributor.lastname | Siu | en |
local.contributor.lastname | Evans | en |
local.contributor.lastname | Rogers | en |
local.contributor.lastname | Lewis | en |
dc.identifier.staff | une-id:gfalzon2 | en |
dc.identifier.staff | une-id:spearson | en |
dc.identifier.staff | une-id:rmurison | en |
local.profile.orcid | 0000-0002-1989-9357 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:294 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Wavelet-based feature extraction applied to small-angle x-ray scattering patterns from breast tissue | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Falzon, G | en |
local.search.author | Pearson, SJ | en |
local.search.author | Murison, RD | en |
local.search.author | Hall, C | en |
local.search.author | Siu, K | en |
local.search.author | Evans, A | en |
local.search.author | Rogers, K | en |
local.search.author | Lewis, R | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/3b093247-f7d9-43f1-be65-8dac8ea0bbee | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000238384700007 | en |
local.year.published | 2006 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/3b093247-f7d9-43f1-be65-8dac8ea0bbee | en |
Appears in Collections: | Journal Article |
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File | Description | Size | Format | |
---|---|---|---|---|
open/SOURCE01.pdf | Author final version | 328.51 kB | Adobe PDF Download Adobe | View/Open |
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