In a new study aiming to advance brain ultralow-field (ULF) MRI for speed and quality via deep learning,researchers at The University of Hong Kong (Hong Kong, PRC;www.hku.hk) have proposed a fast acquisition and deep learning reconstruction framework to speed up brain MRI at 0.055 tesla.

The researchers successfully achieved fast 3D brain MRI at 0.055 T by directly combining the accelerated MR data acquisition and the DL 3D image formation that reconstructs images from incomplete 3D k-space data with SR.

The new approach successfully overcomes the limitations of low signal strength,allowing for the detailed reconstruction of fine anatomical features.