Treatment planning of Electrochemotherapy (ECT) is designed by means of a genetic multi-objective optimization method: the needle position maximizing the electric field in the treated volume is searched for. NSGA algorithm is coupled with penalty function technique in order to identify the constrained Pareto front to select the best compromise solutions and discard the unfeasible ones. A 3D model is proposed to assess electric field distribution in a clinical case.

Optimization for ECT treatment planning

CAMPANA, LUCA GIOVANNI;DUGHIERO, FABRIZIO;ROSSI, CARLO RICCARDO;SIENI, ELISABETTA
2012

Abstract

Treatment planning of Electrochemotherapy (ECT) is designed by means of a genetic multi-objective optimization method: the needle position maximizing the electric field in the treated volume is searched for. NSGA algorithm is coupled with penalty function technique in order to identify the constrained Pareto front to select the best compromise solutions and discard the unfeasible ones. A 3D model is proposed to assess electric field distribution in a clinical case.
2012
IGTE'12 Abstracts
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2643656
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact