title: Image registration guided, sparsity constrained reconstructions for dynamic MRI.
abstract: It is generally a challenging task to reconstruct dynamic magnetic resonance (MR) images with high spatial and high temporal resolutions, especially with highly incomplete k-space sampling. In this work, a novel method that combines a non-rigid image registration technique with sparsity-constrained image reconstruction is introduced. Employing a multi-resolution free-form deformation technique with B-spline interpolations, the non-rigid image registration accurately models the complex deformations of the physiological dynamics, and provides artifact-suppressed high spatial-resolution predictions. Based on these prediction images, the sparsity-constrained data fidelity-enforced image reconstruction further improves the reconstruction accuracy. When compared with the k-t FOCUSS with motion estimation/motion compensation (MEMC) technique on volunteer scans, the proposed method consistently outperforms in both the spatial and the temporal accuracy with variously accelerated k-space sampling. High fidelity reconstructions for dynamic systolic phases with reduction factor of 10 and cardiac perfusion series with reduction factor of 3 are presented.
authors.affiliation: School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia.
authors.forename: Jin
authors.initials: J
authors.lastname: Jin
authors.affiliation: School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: feng@itee.uq.edu.au.
authors.forename: Feng
authors.initials: F
authors.lastname: Liu
authors.affiliation: School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia.
authors.forename: Stuart
authors.initials: S
authors.lastname: Crozier
mesh_terms: D000465:Algorithms; D016477:Artifacts; D016208:Databases, Factual; D003971:Diastole; D004562:Electrocardiography; D064368:Healthy Volunteers; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods; D009038:Motion; D009206:Myocardium / Q000473:pathology*; D010477:Perfusion; D015203:Reproducibility of Results; D012189:Retrospective Studies
keywords: Cardiac cine; Cardiac perfusion; Compressed sensing (CS); Dynamic magnetic resonance imaging (dMRI); Free-form deformation (FFD); Non-rigid image registration