The aim of the paper is to propose a computational methodology for the prediction of the temperature of tissues during thermal ablation treatment. The methodology is based on the inversion of measured temperatures and it relies on a finite-element model of thermal field.

Non-invasive thermometry for the thermal ablation of liver tumor: a computational methodology.

DI BARBA, PAOLO;MOGNASCHI, MARIA EVELINA;SAVINI, ANTONIO
2007-01-01

Abstract

The aim of the paper is to propose a computational methodology for the prediction of the temperature of tissues during thermal ablation treatment. The methodology is based on the inversion of measured temperatures and it relies on a finite-element model of thermal field.
2007
The Electrical and Electronics Engineering category covers resources concerned with applications of electricity, generally those involving current flow through conductors, as in motors and generators. This category also covers the examination of the conduction of electricity through gases or a vacuum as well as through semiconducting materials. Topics include image and signal processing, electromagnetics, electronic components and materials, microwave technology, and microelectronics.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
25
407
412
Tematica Ex SIR: Modelli predittivi del campo termico in elettrotermia clinica (Classif. Ex SIR:Articoli su riviste ISI )
Inverse problem; Non-invasive thermometry; Thermal ablation
5
info:eu-repo/semantics/article
262
D'Ambrosio, Valentina; DI BARBA, Paolo; Dughiero, Fabrizio; Mognaschi, MARIA EVELINA; Savini, Antonio
1 Contributo su Rivista::1.1 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/32054
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