Repository logo
 
Publication

Towards a comprehensive evaluation of ultrasound speckle reduction

dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorRufino, José
dc.contributor.authorCadavez, Vasco
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2018-03-12T15:56:04Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2018-03-12T15:56:04Z
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.en_EN
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationMonteiro, Fernando C.; Rufino, José; Cadavez, Vasco (2014). Towards a comprehensive evaluation of ultrasound speckle reduction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 141-149. ISBN 9783319117577en_EN
dc.identifier.doi10.1007/978-3-319-11758-4_16en_EN
dc.identifier.isbn978-3319117577
dc.identifier.urihttp://hdl.handle.net/10198/15446
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.titleTowards a comprehensive evaluation of ultrasound speckle reductionen_EN
dc.typeconference paper
dspace.entity.typePublication
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.rightsopenAccessen_EN
rcaap.typeconferenceObjecten_EN
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
relation.isAuthorOfPublication57b410e9-f6b7-42ff-ab3d-b526278715eb
relation.isAuthorOfPublication.latestForDiscovery1e24d2ce-a354-442a-bef8-eebadd94b385

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
363.pdf
Size:
977.56 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Plain Text
Description: