Robust and efficient methods for proton computed tomography.

Proton computed tomography (pCT) is a recent promising imaging modality with the goal of generating accurate 3D maps of relative stopping power (RSP) with respect to water. Since the early developments of this imaging technique in 1970's, there have been significant improvements regarding the reconstruction of accurate RSP which makes pCT a reliable alternative to X-ray CT for planning proton therapy treatments. There are several conditions in pCT that can negatively affect the accuracy of pCT images. The goal of this dissertation is developing efficient image reconstruction methods generating accurate RSP values under both normal and critical conditions.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Doctoral

Grantor

Baylor University.

Year dc:date.issued

2018

Author dc:creator

• Karbasi, Seyedeh Paniz, 1986-

Advisor dc:contributor.advisor

• Schubert, Keith Evan.

• Proton computer tomography.
• Iterative image reconstruction.
• Medical imaging.
• Inverse problems.
• Algebraic reconstruction technique (ART)
• Particle therapy.
• Ion computed tomography.

Statement dc:rights

• Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/10426

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/10426