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Non-invasive modelling of ultrasound-induced temperature in tissues: a b-splines neural network solution

2016Journal article Open access
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dc.contributor.authorFerreira, R.
dc.contributor.authorRuano, M. Graça
dc.contributor.authorRuano, Antonio
dc.date.accessioned2017-04-07T15:57:31Z
dc.date.available2017-04-07T15:57:31Z
dc.date.issued2016
dc.description.abstractEfficient hyperthermia therapy session requires knowledge of the exact amount of heating needed at a particular tissue location and how it propagates around the area. Until now, ultrasound heating treatments are being monitored by Magnetic Resonance Imaging (MRI) which, besides raising the treatment instrumental cost, requires the presence of a team of clinicians and limits the hyperthermia ultrasound treatment area due to the space restrictions of an MRI examination procedure. This paper introduces a novel non-invasive modelling approach of ultrasound-induced temperature in tissue. This comes as a cost effective alternative to MRI techniques, capable of achieving a maximum temperature resolution of 0.26 degrees C, clearly inferior to the MRI gold standard resolution of 0.5 degrees C/cm(3). Furthermore, we propose an innovative modelling methodology, where various similar models are built and are further combined through an optimization procedure, that we call neural ensemble optimization (NEO). This combination mechanism is shown to be superior to more simple schemes such as simple averages or evolutionary strategy based techniques. (C), 2016 IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All Rights reserved.
dc.identifier.doi10.1016/j.ifacol.2016.07.129
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/10400.1/9732
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.isbasedonWOS:000381503600051
dc.titleNon-invasive modelling of ultrasound-induced temperature in tissues: a b-splines neural network solution
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F50022%2F2013/PT
oaire.citation.conferencePlaceReims, France
oaire.citation.endPage302
oaire.citation.issue5
oaire.citation.startPage297
oaire.citation.titleIFAC PapersOnLine
oaire.citation.volume49
oaire.fundingStream5876
person.familyNameRuano
person.familyNameRuano
person.givenNameMaria
person.givenNameAntonio
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-0014-9257
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridA-8321-2011
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004483805
person.identifier.scopus-author-id7004284159
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2
relation.isProjectOfPublication53083a92-791c-473a-8e29-3007fc4bb131
relation.isProjectOfPublication.latestForDiscovery53083a92-791c-473a-8e29-3007fc4bb131

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