Skip to main content

Motion estimation for functional medical imaging studies using a stereo video head pose tracking system

Resource type
Thesis type
(Thesis) M.Sc.
Date created
2009
Authors/Contributors
Abstract
Patient motion is unavoidable during long medical imaging scan times. In particular, motion artifacts in functional and molecular brain imaging (e.g., dynamic positron emission tomography in dPET) are known to corrupt the data leading to inaccurate analysis and diagnosis. Most existing motion correction solutions either rely on attaching external markers or on data-driven image registration algorithms. In this work, we propose a new motion correction approach. It alleviates the need for inconvenient external markers and relaxes the dependence on the fragile similarity metrics that are generally incapable of capturing the complex spatio-temporal tracer dynamics in dPET. We develop a hybrid, multi-sensor method that uses a marker-free video tracker along with image-based registration. The balance between the two is automatically adapted to confide in the more certain measurement. Our quantitative results demonstrate improved motion estimation and kinetic parameter extraction when using our hybrid method.
Document
Copyright statement
Copyright is held by the author.
Scholarly level
Language
English
Member of collection
Download file Size
ETD4664.pdf 5.76 MB

Views & downloads - as of June 2023

Views: 0
Downloads: 0