Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

dc.contributor.authorZukal, Martincs
dc.contributor.authorBeneš, Radekcs
dc.contributor.authorČíka, Petrcs
dc.contributor.authorŘíha, Kamilcs
dc.coverage.issue6cs
dc.coverage.volume13cs
dc.date.issued2013-12-16cs
dc.description.abstractThis paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable for accurate long-lasting tracking. We compare three interest point detectors - Harris-Laplace, Difference of Gaussian (DoG) and Fast Hessian - and identify the most suitable one for use in US images on the basis of an objective criterion. Repeatability rate is assumed to be an objective quality measure for comparison. We have measured repeatability in images corrupted by different types of noise (speckle noise, Gaussian noise) and for changes in brightness. The Harris-Laplace detector outperformed its competitors and seems to be a sound option when choosing a suitable interest point detector for US images. However, it has to be noted that Fast Hessian and DoG detectors achieved better results in terms of processing speed.en
dc.description.abstractThis paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable for accurate long-lasting tracking. We compare three interest point detectors - Harris-Laplace, Difference of Gaussian (DoG) and Fast Hessian - and identify the most suitable one for use in US images on the basis of an objective criterion. Repeatability rate is assumed to be an objective quality measure for comparison. We have measured repeatability in images corrupted by different types of noise (speckle noise, Gaussian noise) and for changes in brightness. The Harris-Laplace detector outperformed its competitors and seems to be a sound option when choosing a suitable interest point detector for US images. However, it has to be noted that Fast Hessian and DoG detectors achieved better results in terms of processing speed.cs
dc.formattextcs
dc.format.extent329-338cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMeasurement Science Review. 2013, vol. 13, issue 6, p. 329-338.en
dc.identifier.doi10.2478/msr-2013-0049cs
dc.identifier.issn1335-8871cs
dc.identifier.orcid0000-0002-3620-6807cs
dc.identifier.orcid0000-0002-6196-5215cs
dc.identifier.other104060cs
dc.identifier.researcheridE-1727-2018cs
dc.identifier.scopus23011456300cs
dc.identifier.urihttp://hdl.handle.net/11012/200911
dc.language.isoencs
dc.publisherVersita Opencs
dc.relation.ispartofMeasurement Science Reviewcs
dc.relation.urihttps://sciendo.com/article/10.2478/msr-2013-0049cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1335-8871/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectB-mode ultrasounden
dc.subjectGaussian noiseen
dc.subjectinterest point detectoren
dc.subjectrepeatability rateen
dc.subjectspeckle noiseen
dc.subjectspeckle trackingen
dc.subjectB-mode ultrasound
dc.subjectGaussian noise
dc.subjectinterest point detector
dc.subjectrepeatability rate
dc.subjectspeckle noise
dc.subjectspeckle tracking
dc.titleTowards an Optimal Interest Point Detector for Measurements in Ultrasound Imagesen
dc.title.alternativeTowards an Optimal Interest Point Detector for Measurements in Ultrasound Imagescs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-104060en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:01en
sync.item.modts2025.01.17 15:37:10en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Centrum senzorických, informačních a komunikačních systémůcs
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