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dc.contributor.authorElahi, Muhammad Adnan
dc.contributor.authorCurtis, C.
dc.contributor.authorLavoie, B.R.
dc.contributor.authorGlavin, Martin
dc.contributor.authorJones, Edward
dc.contributor.authorFear, E.
dc.contributor.authorO’Halloran, Martin
dc.date.accessioned2017-12-08T13:04:31Z
dc.date.issued2017-03-02
dc.identifier.citationElahi, M. A., Curtis, C., Lavoie, B. R., Glavin, M., Jones, E., Fear, E., & O’Halloran, M. (2017). Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations. Computerized Medical Imaging and Graphics, 58(Supplement C), 33-44. doi: https://doi.org/10.1016/j.compmedimag.2017.02.003en_IE
dc.identifier.issn0895-6111
dc.identifier.issn1879-0771
dc.identifier.urihttp://hdl.handle.net/10379/7032
dc.description.abstractMicrowave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early stage artifact removal. Several artifact removal algorithms have been reported in the literature. However, the neighbourhood-based skin subtraction and hybrid artifact removal algorithms have shown particularly promising results in different realistic 3D breast phantoms. For the first time in this paper, both algorithms have been evaluated and compared using the scan approaches of the most common microwave breast imaging prototype systems. The tests include 3D numerical as well as experimental breast phantoms scanned with hemispherical, cylindrical and adaptive scanning patterns. The efficacy of both algorithms has been evaluated across a range of appropriate performance metrics. (C) 2017 Elsevier Ltd. All rights reserved.en_IE
dc.description.sponsorshipThis work is supported by Science Foundation Ireland (Grant Numbers: 11/SIRG/I2120 and 12/IP/1523), COST Action TD1301, MiMed and the Irish Research Council New Foundations Award. The authors would also like to thank Douglas Kurrant for collecting the simulation data and Jérémie Bourqui for collecting the measurement data.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherElsevieren_IE
dc.relation.ispartofComputerized Medical Imaging And Graphicsen
dc.subjectSENSING ADAPTIVE RADARen_IE
dc.subjectCANCER DETECTIONen_IE
dc.subjectSYSTEMen_IE
dc.subjectUWBen_IE
dc.subjectMicrowave imagingen_IE
dc.subjectUltra wideband radaren_IE
dc.subjectBreast canceren_IE
dc.subjectArtifact removalen_IE
dc.subjectSkin subtractionen_IE
dc.subjectSkin-artifact removalen_IE
dc.titlePerformance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurationsen_IE
dc.typeArticleen_IE
dc.date.updated2017-12-04T20:26:38Z
dc.identifier.doi10.1016/j.compmedimag.2017.02.003
dc.local.publishedsourcehttps://doi.org/10.1016/j.compmedimag.2017.02.003en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Ireland
dc.description.embargo2018-03-02
dc.internal.rssid13210847
dc.local.contactMuhammad Adnan Elahi. Email: muhammadadnan.elahi@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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