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dc.date.accessioned2020-05-26T18:05:30Z
dc.date.available2020-05-26T18:05:30Z
dc.date.created2019-11-22T11:48:49Z
dc.date.issued2019
dc.identifier.citationRindal, Ole Marius Hoel Rodriguez-Molares, Alfonso Måsøy, Svein-Erik Bjåstad, Tore Grüner . Improved Lesion Detection Using Nonlocal Means Post-Processing. Proceedings - IEEE Ultrasonics Symposium. 2019, 2019-October, 1013-1016
dc.identifier.urihttp://hdl.handle.net/10852/76288
dc.description.abstractSoftware beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming algorithms claim to improve lesion detectability. Based on recent advances, we hypothesize that image processing techniques that reduce speckle variability yield better lesion detectability than state-of-the-art adaptive beamformers.This hypothesis is investigated on six algorithms: two image processing techniques, and four adaptive beamformers. As a target we use Field II simulations of a hypoechoic cyst with noise added to simulate different SNR conditions. Lesion detectability is estimated using the Generalized Contrast-to-Noise Ratio (GCNR). The results support our hypothesis.en_US
dc.languageEN
dc.publisherIEEE Geoscience and Remote Sensing Society
dc.titleImproved Lesion Detection Using Nonlocal Means Post-Processingen_US
dc.typeJournal articleen_US
dc.creator.authorRindal, Ole Marius Hoel
dc.creator.authorRodriguez-Molares, Alfonso
dc.creator.authorMåsøy, Svein-Erik
dc.creator.authorBjåstad, Tore Grüner
cristin.unitcode185,15,5,51
cristin.unitnameForskningsgruppen for digital signalbehandling og bildeanalyse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1750926
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Proceedings - IEEE Ultrasonics Symposium&rft.volume=2019-October&rft.spage=1013&rft.date=2019
dc.identifier.jtitleProceedings - IEEE Ultrasonics Symposium
dc.identifier.volume2019-October
dc.identifier.startpage1013
dc.identifier.endpage1016
dc.identifier.doihttps://doi.org/10.1109/ULTSYM.2019.8926303
dc.identifier.urnURN:NBN:no-79392
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1948-5719
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/76288/1/IUS2019___Non_Local_Means___GCNR_final.pdf
dc.type.versionAcceptedVersion
dc.relation.projectNFR/237887


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