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Non-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networks

2006Journal article Restricted
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dc.contributor.authorTeixeira, C. A.
dc.contributor.authorRuano, Antonio
dc.contributor.authorRuano, M. Graça
dc.contributor.authorPereira, W. C. A.
dc.contributor.authorNegreira, C.
dc.date.accessioned2013-02-07T14:05:51Z
dc.date.available2013-02-07T14:05:51Z
dc.date.issued2006
dc.date.updated2013-01-26T18:51:11Z
dc.description.abstractIn this paper, a novel black-box modelling scheme applied to non-invasive temperature prediction in a homogeneous medium subjected to therapeutic ultrasound is presented. It is assumed that the temperature in a point of the medium is non-linearly related to some spectral features and one temporal feature, extracted from the collected RF-lines. The black-box models used are radial basis functions neural networks (RBFNNs), where the best-fitted models were selected from the space of model structures using a genetic multiobjective strategy. The best-fitted predictive model presents a maximum absolute error less than 0.4 C in a prediction horizon of approximately 2 h, in an unseen data sequence. This work demonstrates that this type of black-box model is well-suited for punctual and noninvasive temperature estimation, achieving, for a single point estimation, better results than the ones presented in the literature, encouraging research on multi-point non-invasive temperature estimation.por
dc.identifier.citationTeixeira, C. A.; Ruano, A. E.; Ruano, M. Graça; Pereira, W. C. A.; Negreira, C. Non-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networks, Medical & Biological Engineering & Computing, 44, 1-2, 111-116, 2006.por
dc.identifier.doihttp://dx.doi.org/10.1007/s11517-005-0004-2
dc.identifier.issn0140-0118
dc.identifier.otherAUT: ARU00698; MRU00118;
dc.identifier.urihttp://hdl.handle.net/10400.1/2251
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectUltrasoundpor
dc.subjectHyperthermiapor
dc.subjectNeural networkpor
dc.titleNon-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networkspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage116por
oaire.citation.issue1-2por
oaire.citation.startPage111por
oaire.citation.titleMedical & Biological Engineering & Computingpor
oaire.citation.volume44por
person.familyNameTeixeira
person.familyNameRuano
person.familyNameRuano
person.familyNamePereira
person.givenNameCésar
person.givenNameAntonio
person.givenNameMaria
person.givenNameWagner
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0001-9396-1211
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0002-0014-9257
person.identifier.orcid0000-0001-5880-3242
person.identifier.ridA-3477-2012
person.identifier.ridB-4135-2008
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id55826531700
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id7004483805
person.identifier.scopus-author-id35581987400
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication29e9844d-9355-4f2a-badf-9e7ad3117cdb
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication5f0824cf-c471-4f03-8134-8003affbabe3
relation.isAuthorOfPublication.latestForDiscovery5f0824cf-c471-4f03-8134-8003affbabe3

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