Automatic Minimisation of Patient Setup Errors in Proton Beam Therapy

dc.contributor.authorRansome, Trevor Malcolm
dc.date.accessioned2006-11-14T09:19:26Z
dc.date.available2006-11-14T09:19:26Z
dc.date.issued2006-11-14T09:19:26Z
dc.descriptionStudent Number : 0003555T - MSc (Eng) dissertation - School of Electrical and Information Engineering - Faculty of Engineering and the Built Environmenten
dc.description.abstractSuccessful radiotherapy treatments with high-energy proton beams require the accurate positioning of patients. This paper investigates computational methods for achieving accurate treatment setups in proton therapy based on the geometrical differences between a double exposed portal radiograph (PR) and a reference image obtained from the treatment planning process. The first step in these methods involves aligning the boundary of the radiation field in the PR with a reference boundary defined by the treatment plan. We propose using the generalised Hough transform (GHT), followed by an optimisation routine to align the field boundaries. It is found that this method worked successfully on ten tested examples, and aligns up to 82% of reference boundary points onto the field boundary. The next step requires quantising the patients anatomical shifts relative to the field boundary. Using simulated images, a number of intensity-based similarity measures and optimisation routines are tested on a 3D/2D registration. It is found that the simulated annealing algorithm minimising the correlation coefficient provided the most accurate solution in the least number of function evaluations.en
dc.format.extent900347 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10539/1667
dc.language.isoenen
dc.subjectminimisationen
dc.subjectsetup errorsen
dc.subjectradiotherapyen
dc.subjectimage registrationen
dc.titleAutomatic Minimisation of Patient Setup Errors in Proton Beam Therapyen
dc.typeThesisen

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
TRansomeDissertation.pdf
Size:
879.25 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
87 B
Format:
Item-specific license agreed upon to submission
Description:

Collections