Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI

Lignende værker

• P-LORAKS: Low-Rank Modeling of Local k-Space Neighborhoods with Parallel Imaging Data
  af: Haldar, Justin P., et al.
  Udgivet: (2015)
• Wave-LORAKS: Combining Wave Encoding with Structured Low-Rank Matrix Modeling for More Highly Accelerated 3D Imaging
  af: Kim, Tae Hyung, et al.
  Udgivet: (2018)
• PCLR: Phase-Constrained Low-Rank Model for Compressive Diffusion-Weighted MRI
  af: Gao, Hao, et al.
  Udgivet: (2013)
• LORAKS Makes Better SENSE: Phase-Constrained Partial Fourier SENSE Reconstruction without Phase Calibration
  af: Kim, Tae Hyung, et al.
  Udgivet: (2016)
• Subspace-constrained approaches to low-rank fMRI acceleration
  af: Mason, Harry T., et al.
  Udgivet: (2021)