title: INTERVENTIONAL MRI WITH SPARSE SAMPLING USING UNION-OF-SUBSPACES.
abstract: A significant problem in interventional magnetic resonance imaging is limited imaging speed. This paper addresses this problem using a new signal model known as union-of-subspaces. This model enables an effective use of sparse sampling and prior information to significantly improve the imaging speed. The proposed method has been validated using simulations on real interventional imaging data, and is shown to provide high speed and quality imaging. The approach is very flexible and can be applied to other imaging applications as well.
authors.affiliation: Beckman Institute for Advanced Science and Technology, and, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: S Derin
authors.initials: SD
authors.lastname: Babacan
authors.affiliation: Beckman Institute for Advanced Science and Technology, and, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: Fan
authors.initials: F
authors.lastname: Lam
authors.affiliation: Beckman Institute for Advanced Science and Technology, and, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: Xi
authors.initials: X
authors.lastname: Peng
authors.affiliation: Beckman Institute for Advanced Science and Technology, and, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: Minh N
authors.initials: MN
authors.lastname: Do
authors.affiliation: Beckman Institute for Advanced Science and Technology, and, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: Zhi-Pei
authors.initials: ZP
authors.lastname: Liang
keywords: Interventional MRI; fast imaging; sparse sampling; union of subspaces