Technical Program

Paper Detail

Paper:	SA-AM-OS1.6
Session:	MRI Acquisition and Reconstruction
Time:	Saturday, April 8, 11:30 - 11:50
Presentation:	Oral
Title:	On Model-Based MR Spectroscopic Imaging
Authors:	Mathews Jacob; University of Illinois at Urbana-Champaign
	Bradley Sutton; University of Illinois at Urbana-Champaign
	Justin Haldar; University of Illinois at Urbana-Champaign
	Zhi-Pei Liang; University of Illinois at Urbana-Champaign
Abstract:	In this paper, we analyze the model-based reconstruction framework in MR spectroscopic imaging and derive an exact expression for the reconstruction error. Based on the insight provided by the analysis, we propose two modifications: (a) since increasing the number of Fourier samples will decrease the reconstruction error, we introduce a new echo-planar imaging sequence to acquire more Fourier samples in the same scan duration. We then use the model-based framework to effectively compensate for the corresponding loss in signal to noise ratio/measurement. (b) we observe that model misfit can affect the reconstructions in constrained imaging much more seriously than standard Fourier reconstruction. We propose a data adaptive basis selection procedure to reduce the misfit. Both these improvements together enable highresolution reconstructions that are more robust and with fewer artifacts as compared to reduced encoding, without increasing the scan time.

ISBI 2006 is sponsored by

and organized in cooperation with