A Graphical Generalized Implementation of SENSE Reconstruction Using Matlab

作者：Omer Hammad^*; Dickinson Robert

来源：Concepts in Magnetic Resonance: Part A , 2010, 36A(3): 178-186.

DOI：10.1002/cmr.a.20160

• parallel MRI
• SENSE reconstruction
• regularization
• k-space
• Matlab

Parallel acquisition of Magnetic Resonance Imaging (MRI) has the potential to significantly reduce the scan time SENSE is one of the many techniques for the reconstruction of parallel MRI images A generalized algorithm for SENSE reconstruction and theoretical background is presented This algorithm can be used for SENSE reconstruction for any acceleration factor between 2 and 8, for any Phase Encode direction (Horizontal or Vertical), with or without Regularization The user can select a particular type of Regularization A GUI based implementation of the algorithm is also given Signal-to-noise ratio, artefact power, and g-factor map are used to quantify the quality of reconstruction The effects of different acceleration factors on these parameters are also discussed The GUI based implementation of SENSE reconstruction provides an easy selection of various parameters needed for r

• 出版日期2010-5