Belloni, Silvia
(2016)
Applications of advanced and dual energy computed tomography in proton therapy.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Fisica [LM-DM270]
Documenti full-text disponibili:
|
Documento PDF
Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato
Download (27MB)
|
Abstract
This thesis focuses on advanced reconstruction methods and Dual Energy (DE) Computed Tomography (CT) applications for proton therapy, aiming at improving patient positioning and investigating approaches to deal with metal artifacts.
To tackle the first goal, an algorithm for post-processing input DE images has been developed.
The outputs are tumor- and bone-canceled images, which help in recognising structures in patient body.
We proved that positioning error is substantially reduced using contrast enhanced images, thus suggesting the potential of such application.
If positioning plays a key role in the delivery, even more important is the quality of planning CT. For that, modern CT scanners offer possibility to tackle challenging cases, like treatment of tumors close to metal implants.
Possible approaches for dealing with artifacts introduced by such rods have been investigated experimentally at Paul Scherrer Institut (Switzerland), simulating several treatment plans on an anthropomorphic phantom. In particular, we examined the cases in which none, manual or Iterative Metal Artifact Reduction (iMAR) algorithm were used to correct the artifacts, using both Filtered Back Projection and Sinogram Affirmed Iterative Reconstruction as image reconstruction techniques.
Moreover, direct stopping power calculation from DE images with iMAR has also been considered as alternative approach.
Delivered dose measured with Gafchromic EBT3 films was compared with the one calculated in Treatment Planning System.
Residual positioning errors, daily machine dependent uncertainties and film quenching have been taken into account in the analyses.
Although plans with multiple fields seemed more robust than single field, results showed in general better agreement between prescribed and delivered dose when using iMAR, especially if combined with DE approach.
Thus, we proved the potential of these advanced algorithms in improving dosimetry for plans in presence of metal implants.
Abstract
This thesis focuses on advanced reconstruction methods and Dual Energy (DE) Computed Tomography (CT) applications for proton therapy, aiming at improving patient positioning and investigating approaches to deal with metal artifacts.
To tackle the first goal, an algorithm for post-processing input DE images has been developed.
The outputs are tumor- and bone-canceled images, which help in recognising structures in patient body.
We proved that positioning error is substantially reduced using contrast enhanced images, thus suggesting the potential of such application.
If positioning plays a key role in the delivery, even more important is the quality of planning CT. For that, modern CT scanners offer possibility to tackle challenging cases, like treatment of tumors close to metal implants.
Possible approaches for dealing with artifacts introduced by such rods have been investigated experimentally at Paul Scherrer Institut (Switzerland), simulating several treatment plans on an anthropomorphic phantom. In particular, we examined the cases in which none, manual or Iterative Metal Artifact Reduction (iMAR) algorithm were used to correct the artifacts, using both Filtered Back Projection and Sinogram Affirmed Iterative Reconstruction as image reconstruction techniques.
Moreover, direct stopping power calculation from DE images with iMAR has also been considered as alternative approach.
Delivered dose measured with Gafchromic EBT3 films was compared with the one calculated in Treatment Planning System.
Residual positioning errors, daily machine dependent uncertainties and film quenching have been taken into account in the analyses.
Although plans with multiple fields seemed more robust than single field, results showed in general better agreement between prescribed and delivered dose when using iMAR, especially if combined with DE approach.
Thus, we proved the potential of these advanced algorithms in improving dosimetry for plans in presence of metal implants.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Belloni, Silvia
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Curriculum E: Fisica applicata
Ordinamento Cds
DM270
Parole chiave
Dual Energy Computed Tomography,patient positioning,metal artifacts,proton therapy,dose distribution,anthropomorphic phantom
Data di discussione della Tesi
21 Ottobre 2016
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Belloni, Silvia
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Curriculum E: Fisica applicata
Ordinamento Cds
DM270
Parole chiave
Dual Energy Computed Tomography,patient positioning,metal artifacts,proton therapy,dose distribution,anthropomorphic phantom
Data di discussione della Tesi
21 Ottobre 2016
URI
Statistica sui download
Gestione del documento: