Gabriel Varela-Mattatall1,2 and Ravi S Menon1,2
1Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, ON, Canada, 2Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
1Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, ON, Canada, 2Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
We present an automatic, non-iterative, and prospective method to determine the regularization weighting for WaveCS reconstructions. The image quality from this reconstruction is on the same order as other reconstruction but without any tuning.
Visualization of local phase images from the different reconstruction procedures. Panels (A) and (B) show the local phase from Bilgic et al7, while panel (C) shows the local phase obtained from our automatic WaveCS reconstruction procedure. Panel (D) shows the reference. In parenthesis it is shown the under-sampling factor for each reconstruction.
Visualization of magnitude Images from the different reconstruction procedures. Panels (A) and (B) show the results from Bilgic et al7, while panel (C) shows the result from our automatic WaveCS reconstruction. Panel (D) shows the reference. In parenthesis it is shown the under-sampling factor for each reconstruction.