Repository logo
 
Publication

A neuro-genetic approach to non-invasive temperature estimation in multilayered media under ultrasound therapy

dc.contributor.authorTeixeira, C. A.
dc.contributor.authorRuano, M. Graça
dc.contributor.authorRuano, Antonio
dc.contributor.authorPereira, W. C. A.
dc.date.accessioned2013-02-05T14:35:18Z
dc.date.available2013-02-05T14:35:18Z
dc.date.issued2007
dc.date.updated2013-01-26T18:11:12Z
dc.description.abstractPrecise non-invasive temperature estimation is a primary aspect for a correct ultrasound therapy application. In multilayered media it is important to estimate the temperature inside each layer and especially at the interfaces, where higher temperature values can happen. In this work, it is proposed a method to estimate temperature from backscattered ultrasound signals (BSU) using genetically selected radial-basis functions neural networks (RBFNN). A three-layered gel-based phantom was build and submitted to 1-MHz ultrasound waves at several physiotherapeutic intensities. Low-intensity 5-MHz ultrasound pulses were also applied and backscattered and temperature signals were acquired. Temperatures were collected from thermocouples placed inside each layer and at their interfaces, along the axial line of the physiotherapeutic ultrasound transducer. After data collection, temporal echo-shifts due to temperature changes were computed from the BSU signals, and applied with the past temperature values as RBFNN inputs. After training and structure selection, the best RBFNN were validated in fresh data, and proper estimators which presented a maximum absolute error inferior to 0.5 ºC (standard threshold for hyperthermia/diathermia) were obtained. This precision was attained at both the spatial points and intensities. In addition, the best models present a small computational complexity, desired in future real-time applications.por
dc.identifier.citationTeixeira, C. A.; Ruano, M. G.; Ruano, A. E.; Pereira, W. C. A. A Neuro-Genetic Approach to Non-invasive Temperature Estimation in Multilayered Media under Ultrasound Therapy, Trabalho apresentado em 19th International Congress on Acoustics (ICA 2007), In Proceedings of the 19th International Congress on Acoustics (ICA 2007), Madrid, 2007.por
dc.identifier.otherAUT: MRU00118; ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2221
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleA neuro-genetic approach to non-invasive temperature estimation in multilayered media under ultrasound therapypor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMadridpor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.title19th International Congress on Acoustics (ICA 2007)por
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
relation.isAuthorOfPublication29e9844d-9355-4f2a-badf-9e7ad3117cdb
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication5f0824cf-c471-4f03-8134-8003affbabe3
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2007_ICA.pdf
Size:
388.41 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: