title: Efficient parallel reconstruction for high resolution multishot spiral diffusion data with low rank constraint.
abstract: To propose a novel reconstruction method using parallel imaging with low rank constraint to accelerate high resolution multishot spiral diffusion imaging.
  
  
  
  The undersampled high resolution diffusion data were reconstructed based on a low rank (LR) constraint using similarities between the data of different interleaves from a multishot spiral acquisition. The self-navigated phase compensation using the low resolution phase data in the center of k-space was applied to correct shot-to-shot phase variations induced by motion artifacts. The low rank reconstruction was combined with sensitivity encoding (SENSE) for further acceleration. The efficiency of the proposed joint reconstruction framework, dubbed LR-SENSE, was evaluated through error quantifications and compared with ℓ1 regularized compressed sensing method and conventional iterative SENSE method using the same datasets.
  
  
  
  It was shown that with a same acceleration factor, the proposed LR-SENSE method had the smallest normalized sum-of-squares errors among all the compared methods in all diffusion weighted images and DTI-derived index maps, when evaluated with different acceleration factors (R = 2, 3, 4) and for all the acquired diffusion directions.
  
  
  
  Robust high resolution diffusion weighted image can be efficiently reconstructed from highly undersampled multishot spiral data with the proposed LR-SENSE method. Magn Reson Med 77:1359-1366, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Congyu
authors.initials: C
authors.lastname: Liao
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Xiaozhi
authors.initials: X
authors.lastname: Cao
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Song
authors.initials: S
authors.lastname: Chen
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Hongjian
authors.initials: H
authors.lastname: He
authors.affiliation: Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA.
authors.forename: Merry
authors.initials: M
authors.lastname: Mani
authors.affiliation: Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA.
authors.forename: Mathews
authors.initials: M
authors.lastname: Jacob
authors.affiliation: Department of Radiology, University of Iowa, Iowa City, Iowa, USA.
authors.forename: Vincent
authors.initials: V
authors.lastname: Magnotta
authors.affiliation: Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.|Center for Innovative and Collaborative Detection and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Jianhui
authors.initials: J
authors.lastname: Zhong
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted
keywords: low rank; multishot DWI; parallel imaging; spiral data