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Non-invasive tissue temperature evaluation during application of therapeutic ultrasound: precise time-spatial non-linear modelling

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dc.contributor.authorTeixeira, C. A.
dc.contributor.authorRuano, M. Graça
dc.contributor.authorRuano, Antonio
dc.contributor.authorPereira, W. C. A.
dc.date.accessioned2013-02-07T13:13:49Z
dc.date.available2013-02-07T13:13:49Z
dc.date.issued2007
dc.date.updated2013-01-26T18:36:24Z
dc.description.abstractThe potential of thermal therapy’s applications improve with the development of accurate non-invasive timespatial temperature models. These models should represent the non-linear tissue thermal behaviour and be capable of tracking temperature at both time-instant and spatial point. An in-vitro experiment was developed based on a gel phantom, heated by a therapeutic ultrasound (TUS) device emitting continuously. The heating process was monitored by an imaging ultrasound (IUS) transducer working in pulse-echo mode, placed perpendicularly to the TUS transducer. The IUS RF-lines and temperature values were collected 60 mm distant from the TUS transducer face. Three thermocouples were aligned along the IUS transducer axial direction and across the TUS transducer radial direction (1 cm spaced). Three different TUS intensities were applied. The non-invasive time-spatial evolutionary temperature models were created making use of radial basis functions neural networks (RBFNN). The neural network input information was: the propagation time-delay between RF-line echoes and the past temperature lags from three different medium locations and three different TUS intensities. A total of nine different operating situations were studied. The best RBFNN structures were automatically determined by a multiobjective genetic algorithm, due to the enormous number of possible structures. The RBFNN temperature models were evaluated with data never used in the models, neither at the training or structural selection phases. In order to precisely evaluate the model generalisation performance these data included the nine possible operating situations. The best model presents a maximum absolute error less than 0.5 degrees Celsius (gold-standard value for hyperthermia/diathermia applications). To be mentioned also that the best model presents low computational complexity enabling future real-time implementations. Concluding, a maximum absolute error below the gold-standard value pointed for hyperthermia/diathermia applications was attained. In addition, this methodology does not require a-priori determination of physical constants and mathematical simplifications required for analytical methodologies.por
dc.identifier.citationTeixeira, C. A.; Graça Ruano, M.; Ruano, A. E.; Pereira, W. C. A.Non-invasive tissue temperature evaluation during application of therapeutic ultrasound: precise time-spatial non-linear modelling, In World Congress on Medical Physics and Biomedical Engineering 2006, 69-72, ISBN: 978-3-540-36839-7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007.por
dc.identifier.isbn978-3-540-36839-7
dc.identifier.otherAUT: MRU00118; ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2247
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer-Verlag Berlinpor
dc.subjectNon-invasive temperature estimationpor
dc.subjectTherapeutic ultrasoundpor
dc.subjectNeural networkspor
dc.subjectRadial basis functions,por
dc.subjectMulti-objective genetic algorithmspor
dc.titleNon-invasive tissue temperature evaluation during application of therapeutic ultrasound: precise time-spatial non-linear modellingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSeoul, Koreapor
oaire.citation.endPage72por
oaire.citation.startPage69por
oaire.citation.titleWorld Congress on Medical Physics and Biomedical Engineering 2006por
oaire.citation.volume14
person.familyNameTeixeira
person.familyNameRuano
person.familyNameRuano
person.familyNamePereira
person.givenNameCésar
person.givenNameMaria
person.givenNameAntonio
person.givenNameWagner
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0001-9396-1211
person.identifier.orcid0000-0002-0014-9257
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0001-5880-3242
person.identifier.ridA-3477-2012
person.identifier.ridA-8321-2011
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id55826531700
person.identifier.scopus-author-id7004483805
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id35581987400
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication5f0824cf-c471-4f03-8134-8003affbabe3
relation.isAuthorOfPublication.latestForDiscovery29e9844d-9355-4f2a-badf-9e7ad3117cdb

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