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Numerical techniques for modeling Doppler ultrasound spectra systems

dc.contributor.authorRuano, M. Graça
dc.date.accessioned2015-04-13T14:53:14Z
dc.date.available2015-04-13T14:53:14Z
dc.date.issued2001-09-01
dc.description.abstractEvaluation of blood-flow Doppler ultrasound spectral content is currently performed on clinical diagnosis. Since mean frequency and bandwidth spectral parameters are determinants on the quantification of stenotic degree, more precise estimators than the conventional Fourier transform should be seek. This paper summarizes studies led by the author in this field, as well as the strategies used to implement the methods in real-time. Regarding stationary and nonstationary characteristics of the blood-flow signal, different models were assessed. When autoregressive and autoregressive moving average models were compared with the traditional Fourier based methods in terms of their statistical performance while estimating both spectral parameters, the Modified Covariance model was identified by the cost/benefit criterion as the estimator presenting better performance. The performance of three time-frequency distributions and the Short Time Fourier Transform was also compared. The Choi-Williams distribution proved to be more accurate than the other methods. The identified spectral estimators were developed and optimized using high performance techniques. Homogeneous and heterogeneous architectures supporting multiple instruction multiple data parallel processing were essayed. Results obtained proved that real-time implementation of the blood-flow estimators is feasible, enhancing the usage of more complex spectral models on other ultrasonic systems.
dc.identifier.doihttp://dx.doi.org/10.1142/S0218396X0100125X
dc.identifier.issn0218-396X
dc.identifier.otherAUT: MRU00118;
dc.identifier.urihttp://hdl.handle.net/10400.1/5868
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWorld Scientific Publishing
dc.subject.otherEstimators
dc.subject.otherFrequency
dc.titleNumerical techniques for modeling Doppler ultrasound spectra systems
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage814
oaire.citation.issue3
oaire.citation.startPage805
oaire.citation.titleJournal of Computational Acoustics
oaire.citation.volume9
person.familyNameRuano
person.givenNameMaria
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id7004483805
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery61fc8492-d73f-46ca-a3a3-4cd762a784e6

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