Dynamic contrast-enhanced breast MRI

Placeholder Show Content

Abstract/Contents

Abstract
T1-weighted dynamic contrast-enhanced (DCE) breast MRI has shown high sensitivity in detecting tumors, but has suffered from low specificity. Accuracy of tumor detection and characterization is enhanced by high temporal and spatial resolution, high signal-to-noise ratio (SNR), reliable fat suppression, and reduction of flow artifacts. This thesis presents imaging techniques for improving DCE breast MRI in terms of imaging speed and image quality. It first demonstrates that slab-phase modulation of the two breast slabs improves parallel imaging quality in terms of SNR and aliasing artifacts. Second, it presents temporal acceleration scheme by using parallel imaging to achieve high temporal resolution. Thorough patient study results are also included. Third, it shows that fat suppression can be improved by applying independent shimming to each breast through in vivo experiments. Finally, it demonstrates that partial saturation can eliminate flow artifacts efficiently in RF-spoiled gradient-echo sequences. This technique would be helpful to quantification of kinetic parameters from DCE-MRI.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Han, Misung
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 Pauly, John (John M.)
Advisor Daniel, Bruce (Bruce Lewis)
Advisor Pauly, John (John M.)

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Misung Han.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2010.
Location electronic resource

Access conditions

Copyright
© 2010 by Misung Han
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...