dc.creator | Lankford, Christopher Lynn | |
dc.date.accessioned | 2020-08-22T21:17:08Z | |
dc.date.available | 2016-11-07 | |
dc.date.issued | 2016-11-07 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-10282016-153112 | |
dc.identifier.uri | http://hdl.handle.net/1803/14384 | |
dc.description.abstract | Due to the need to acquire a series of T2-weighted images, quantitative T2 mapping protocols in magnetic resonance imaging (MRI) suffer from long scan times. In order to alleviate this problem, fast spin-echo (FSE) imaging protocols can be employed, but the resulting images contain errors in the form of smoothing and ghosting artifacts which propagate to T2 maps. This dissertation presents a new method, dubbed Multiple Echo, Caesar Cipher Acquisition and Model-Based Reconstruction (ME-CAMBREC), which explicitly accounts for k-space signal attenuation during the reconstruction step. T2 maps generated by ME-CAMBREC contained reduced artifact compared to those generated by FSE methods, while requiring only a fraction of the scan time of a multiple spin-echo protocol. For moderate-to-high acceleration factors, ME-CAMBREC outperformed parallel imaging and steady-state T2 mapping techniques. Data suitable for ME-CAMBREC can be acquired in multi-slice mode using pulse sequence interleafs, but a slice gap should be employed to limit T2 bias caused by radiofrequency profile effects. Although ME-CAMBREC can be used to generate accurate T2s in the presence of flip angle errors, it was shown that the use of an independent measure of the transmit field (B1+) will improve fitted T2 precision. | |
dc.format.mimetype | application/pdf | |
dc.subject | MRI | |
dc.subject | T2 | |
dc.subject | fast imaging | |
dc.subject | model-based reconstruction | |
dc.subject | parametric constraint | |
dc.title | Multiple Echo, Caesar Cipher Acquisition and Model-Based Reconstruction (ME-CAMBREC): a Novel Accelerated T2 Mapping Method | |
dc.type | dissertation | |
dc.contributor.committeeMember | Bruce M. Damon | |
dc.contributor.committeeMember | Daniel F. Gochberg | |
dc.contributor.committeeMember | William A. Grissom | |
dc.contributor.committeeMember | E. Brian Welch | |
dc.type.material | text | |
thesis.degree.name | PHD | |
thesis.degree.level | dissertation | |
thesis.degree.discipline | Biomedical Engineering | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2016-11-07 | |
local.embargo.lift | 2016-11-07 | |
dc.contributor.committeeChair | Mark D. Does | |