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Speckle noise reduction in medical ultrasound RF raw images

dc.contributor.authorSanto, Verónica
dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2019-11-15T12:11:26Z
dc.date.available2019-11-15T12:11:26Z
dc.date.issued2018
dc.description.abstractUltrasonography is the commonly used imaging modality for the examination of several pathologies due to its non-invasiveness, affordability and easiness of use. However, ultrasound images are degraded by an intrinsic artifact called 'speckle', which is the result of the constructive and destructive coherent summation of ultrasound echoes. This paper aims to generate B-mode images out of radiofrequency (RF) data following standard procedures, a series of steps such as envelope detection, log-compression and scan conversion. The best set of parameters of this pipeline will be selected in order to achieve B-mode images with high quality.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSanto, Verónica; Monteiro, Fernando C. (2018) . Speckle noise reduction in medical ultrasound RF raw images. In 24th Portuguese Conference on Pattern Recognition. Coimbra, Portugalpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/19816
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSpeckle reductionpt_PT
dc.subjectUltrasound qualitypt_PT
dc.titleSpeckle noise reduction in medical ultrasound RF raw imagespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbrapt_PT
oaire.citation.endPage51pt_PT
oaire.citation.startPage49pt_PT
oaire.citation.title24th Portuguese Conference on Pattern Recognitionpt_PT
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

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