title: Anisotropic field-of-view support for golden angle radial imaging.
abstract: To provide anisotropic field-of-view (FOV) support for golden angle radial imaging.
  
  
  
  In radial imaging, uniform spoke density leads to a circular FOV, which is excessive for objects with anisotropic dimensions. Larson et al previously showed that the angular k-space spoke density can be determined by the desired anisotropic FOV. We show that conventional golden angle sampling can be deployed in an angle-normalized space and transformed back to k-space such that the desired nonuniform spoke density is preserved for arbitrary temporal window length. Elliptical FOVs were used to illustrate this generalized mapping approach. Point-spread-function and spoke density analysis was performed. Phantom and in vivo cardiac images were acquired.
  
  
  
  Simulations, phantom, and in vivo experiments confirmed that the proposed method is able to achieve anisotropic FOV while still maintaining the benefits of golden angle sampling. This approach requires 50% less spokes for elliptical FOV with major-to-minor-axis ratio of 1:0.3, when compared with isotropic FOV with the same undersampling factor.
  
  
  
  We demonstrate a simple method for applying golden angle view ordering to anisotropic FOV radial imaging. This can reduce imaging time for objects with anisotropic dimensions while still allowing arbitrary temporal window selection. Magn Reson Med 76:229-236, 2016. © 2015 Wiley Periodicals, Inc.
authors: Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.|Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California, USA.
authors: Ziyue
authors: Z
authors: Wu
authors: Department of Radiological Sciences, University of California, Los Angeles, California, USA.
authors: Fei
authors: F
authors: Han
authors: Department of Radiological Sciences, University of California, Los Angeles, California, USA.
authors: Peng
authors: P
authors: Hu
authors: Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California, USA.
authors: Krishna S
authors: KS
authors: Nayak
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D018401:Sample Size; D012680:Sensitivity and Specificity
keywords: anisotropic FOV; golden angle radial imaging; radial imaging; scan efficiency