title: Jacobian weighted temporal total variation for motion compensated compressed sensing reconstruction of dynamic MRI.
abstract: To eliminate the need of spatial intraframe regularization in a recently reported dynamic MRI compressed-sensing-based reconstruction method with motion compensation and to increase its performance.
  
  
  
  We propose a new regularization metric based on the introduction of a spatial weighting measure given by the Jacobian of the estimated deformations. It shows convenient discretization properties and, as a byproduct, it also provides a theoretical support to a result reported by others based on an intuitive design. The method has been applied to the reconstruction of both short and long axis views of the heart of four healthy volunteers. Quantitative image quality metrics as well as straightforward visual assessment are reported.
  
  
  
  Short and long axis reconstructions of cardiac cine MRI sequences have shown superior results than previously reported methods both in terms of quantitative metrics and of visual assessment. Fine details are better preserved due to the lack of additional intraframe regularization, with no significant image artifacts even for an acceleration factor of 12.
  
  
  
  The proposed Jacobian Weighted temporal Total Variation results in better reconstructions of highly undersampled cardiac cine MRI than previously proposed methods and sets a theoretical ground for forward and backward predictors used elsewhere. Magn Reson Med 77:1208-1215, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
authors.affiliation: Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.
authors.forename: Javier
authors.initials: J
authors.lastname: Royuela-Del-Val
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering, Centre for the Developing Brain, King's College London, London, UK.
authors.forename: Lucilio
authors.initials: L
authors.lastname: Cordero-Grande
authors.affiliation: Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.
authors.forename: Federico
authors.initials: F
authors.lastname: Simmross-Wattenberg
authors.affiliation: Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.
authors.forename: Marcos
authors.initials: M
authors.lastname: Martín-Fernández
authors.affiliation: Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.
authors.forename: Carlos
authors.initials: C
authors.lastname: Alberola-López
mesh_terms: D000465:Algorithms; D016477:Artifacts; D055424:Cardiac-Gated Imaging Techniques / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D009038:Motion; D009716:Numerical Analysis, Computer-Assisted; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: compressed sensing; dynamic MRI reconstruction; group-wise registration; motion estimation