Login / Signup

Calibrationless parallel imaging reconstruction for multislice MR data using low-rank tensor completion.

Yilong LiuZheyuan YiYujiao ZhaoFei ChenYanqiu FengHua GuoAlex T L LeongEd X Wu
Published in: Magnetic resonance in medicine (2020)
Our proposed multislice block-wise Hankel tensor completion method exploits the similar coil sensitivity and image content within multislice MR data through a tensor completion framework. It offers a new and effective approach to acquire and reconstruct highly undersampled multislice MR data in a calibrationless manner.
Keyphrases
  • electronic health record
  • diffusion weighted imaging
  • contrast enhanced
  • big data
  • magnetic resonance
  • high resolution
  • deep learning
  • magnetic resonance imaging
  • data analysis
  • photodynamic therapy