Whole-heart magnetic resonance imaging with non-Cartesian trajectories

Placeholder Show Content

Abstract/Contents

Abstract
The key factor in advancing widespread use of CMRA is the certainty that diagnostic results can be obtained across scanners and across sites. CMRA methods making use of non-Cartesian imaging trajectories, such as the 3D cones trajectory, are prone to errors from deviations in the MR gradient system. By characterizing this system with a linear time-invariant model based on a chirp signal, MR gradient system based errors are reduced. Free-breathing CMRA protocols provide an alternative to breath-held acquisitions which can be difficult for patients to perform. Accurate tracking of the heart is vital in order to ensure that image quality does not suffer from respiratory-based motion. With the development of a variable-density 3D cones trajectory, whole-heart images of the heart are acquired every heartbeat. With this information, the nonrigid motion of the heart can be tracked and corrected in post-processing. The variable-density 3D cones trajectory is also beneficial for increasing the resolution of the CMRA acquisition. Without significantly impacting the scan time, both the spatial and temporal resolution of images are increased. Improved efficiency is also gained by reducing the oversampling of the 3D cones and other non-Cartesian trajectories. With a flexible, numerical framework, time-efficient non-Cartesian trajectories are designed for excitation, improving spatial selectivity, and for imaging.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2014
Issuance monographic
Language English

Creators/Contributors

Associated with Addy, Nii Okai
Associated with Stanford University, Department of Electrical Engineering.
Primary advisor Nishimura, Dwight George
Thesis advisor Nishimura, Dwight George
Thesis advisor Hargreaves, Brian Andrew
Thesis advisor Pauly, John (John M.)
Advisor Hargreaves, Brian Andrew
Advisor Pauly, John (John M.)

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Nii Okai Addy.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2014.
Location electronic resource

Access conditions

Copyright
© 2014 by Nii Okai Addy
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...