Technical Program

Paper Detail

Paper:	TH-PM-PS1.8
Session:	MRI Reconstruction and Analysis
Time:	Thursday, April 6, 15:20 - 16:40
Presentation:	Poster
Title:	Reduced-Encoding MRI Using Higher-Order Generalized Series
Authors:	Diego Hernando; University of Illinois at Urbana-Champaign
	Justin Haldar; University of Illinois at Urbana-Champaign
	Zhi-Pei Liang; University of Illinois at Urbana-Champaign
Abstract:	The Generalized Series model allows the reconstruction of high-resolution dynamic images from a small number of encodings. However, the ability of the model to capture localized dynamic features is limited by the model order, which is often set equal to the number of encodings acquired. This paper extends this model by incorporating higher frequency terms, which allows for a sharper reconstruction of new localized features. Since the series coefficients of the higher-order model are underdetermined by the data collected, two important issues arise which are addressed in this paper: the definition of an appropriate regularization criterion and the solution of the corresponding optimization problem.

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