The registration of multimodality medical scans

The registration, or alignment, of multiple medical scans can provide a plethora of new information about a patient beyond what can be gained from studying the individual scans in isolation. This added information can increase the accuracy in specifying regions of interest, help in radiation therapy planning, and aid in a myriad of other treatment and diagnostic techniques. However, the registration of the scans is very complex, and no panacea exists for adjusting for the numerous variations and distortions that can occur between scans. This thesis briefly summarizes the current technology of MRI, CT, PET, and SPECT imaging. Possible uses and benefits of using registered data sets are then explained in this context. This is followed by a structured description of the general problem of data registration and a framework that can be used to solve it. Current methods that have been utilized by various researchers are surveyed. The implementation of a surface matching method and the adaptations and innovations that were utilized is described in detail. These are analyzed under diverse test conditions involving both real and simulated data. The surface matching methods that were developed provide an accurate means for the registration of rigid body transformations, although many problems remain to be solved before a robust solution exists.

Name thesis:degree_name

Master of Science - MSc

Level thesis:degree_level

master's

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

University of British Columbia

Year dc:date

1993

Author dc:creator

• Zuk, Torre Dana

Statement dc:rights

• For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.

Language dc:language

eng

Handle dc:identifier

http://hdl.handle.net/2429/1577

OAI identifier oai:identifier

oai:circle.library.ubc.ca:2429/1577