Rapid breast MRI with low distortion

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Spiral imaging has the potential to improve the temporal resolution of dynamic contrast-enhanced breast MRI. Malignant lesions are highly vascularized and appear bright on contrast-enhanced images. Echo-planar imaging facilitates the rapid acquisition of diffusion-weighted images, which are useful for identifying malignant lesions based on their high cellular density. High-resolution images are desired to facilitate morphological assessment of lesions. However, breast imaging suffers from susceptibility-induced magnetic field inhomogeneity. Rapid imaging techniques typically use k-space trajectories that vary in two dimensions. In the presence of inhomogeneity, such trajectories suffer from blurring, which reduces the effective image resolution and can obscure useful morphological features, such as spiculations. This thesis presents techniques for rapid breast MRI with low distortion. A multi-frequency reconstruction reduces blurring in spiral images by reconstructing each voxel at the optimal resonance frequency. The double-echo steady-state sequence is modified to facilitate diffusion-weighted imaging using a Cartesian trajectory, which is less sensitive to field inhomogeneities than echo planar imaging. These techniques improve the image quality while providing diagnostically useful contrast in clinically feasible scan times.


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


Associated with Granlund, Kristin Lee
Associated with Stanford University, Department of Electrical Engineering.
Primary advisor Hargreaves, Brian Andrew
Thesis advisor Hargreaves, Brian Andrew
Thesis advisor Daniel, Bruce (Bruce Lewis)
Thesis advisor Nishimura, Dwight George
Advisor Daniel, Bruce (Bruce Lewis)
Advisor Nishimura, Dwight George


Genre Theses

Bibliographic information

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

Access conditions

© 2014 by Kristin Lee Granlund
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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