Calibrationless Reconstruction of Uniformly-Undersampled Multi-Channel MR Data with Deep Learning Estimated ESPIRiT Maps

no code implementations • 26 Oct 2022 • Junhao Zhang, Zheyuan Yi, Yujiao Zhao, Linfang Xiao, Jiahao Hu, Christopher Man, Vick Lau, Shi Su, Fei Chen, Alex T. L. Leong, Ed X. Wu

Further, they led to excellent ESPIRiT reconstruction performance even at high acceleration, exhibiting a similar level of errors and artifacts to that by using reference ESPIRiT maps.

Robust Electromagnetic Interference (EMI) Elimination via Simultaneous Sensing and Deep Learning Prediction for RF Shielding-free MRI

no code implementations • 13 Oct 2022 • Yujiao Zhao, Linfang Xiao, Vick Lau, Yilong Liu, Alex T. Leong, Ed X. Wu

We implemented and demonstrated this strategy for various EMI sources on a mobile ultra-low-field 0. 055 T permanent magnet MRI scanner and a 1. 5 T superconducting magnet MRI scanner with no or incomplete RF shielding.

A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy

no code implementations • 28 Feb 2018 • Keyan Ding, Linfang Xiao

Active contour models based on local region fitting energy can segment images with intensity inhomogeneity effectively, but their segmentation results are easy to error if the initial contour is inappropriate.