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Towards a comprehensive evaluation of ultrasound speckle reduction

dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorRufino, José
dc.contributor.authorCadavez, Vasco
dc.date.accessioned2018-04-06T13:30:44Z
dc.date.available2018-04-06T13:30:44Z
dc.date.issued2014
dc.description.abstractOver the last three decades, several despeckling filters have been developed to reduce the speckle noise inherently present in ultrasound images without losing the diagnostic information. In this paper, a new intensity and feature preservation evaluation metric for full speckle reduction evaluation is proposed based contrast and feature similarities. A comparison of the despeckling methods is done, using quality metrics and visual interpretation of images profiles to evaluate their performance and show the benefits each one can contribute to noise reduction and feature preservation. To test the methods, noise-free images and simulated B-mode ultrasound images are used. This way, the despeckling techniques can be compared using numeric metrics, taking the noise-free image as a reference. In this study, a total of seventeen different speckle reduction algorithms have been documented based on adaptive filtering, diffusion filtering and wavelet filtering, with sixteen qualitative metrics estimation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMonteiro, Fernando C., Rufino, José; Cadavez, Vasco (2014). Towards a comprehensive evaluation of ultrasound speckle reduction. In International Conference on Image Analysis and Recognition - ICIAR 2014. Vilamoura, Portugalpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/16736
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDespecklingpt_PT
dc.subjectUltrasoundpt_PT
dc.subjectSmoothing filterspt_PT
dc.subjectImage quality evaluationpt_PT
dc.titleTowards a comprehensive evaluation of ultrasound speckle reductionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamoura, Portugalpt_PT
oaire.citation.titleInternational Conference on Image Analysis and Recognition - ICIAR 2014pt_PT
person.familyNameMonteiro
person.familyNameRufino
person.familyNameCadavez
person.givenNameFernando C.
person.givenNameJosé
person.givenNameVasco
person.identifierR-000-HDG
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.ciencia-idC414-F47F-6323
person.identifier.ciencia-id441B-01AB-A12E
person.identifier.orcid0000-0002-1421-8006
person.identifier.orcid0000-0002-1344-8264
person.identifier.orcid0000-0002-3077-7414
person.identifier.ridH-9213-2016
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id8986162600
person.identifier.scopus-author-id55947199100
person.identifier.scopus-author-id9039121900
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
relation.isAuthorOfPublication57b410e9-f6b7-42ff-ab3d-b526278715eb
relation.isAuthorOfPublication.latestForDiscovery57b410e9-f6b7-42ff-ab3d-b526278715eb

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