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eess.IV2023
Accelerated MR Fingerprinting with Low-Rank and Generative Subspace Modeling
Hengfa Lu, Huihui Ye, Lawrence L. Wald +1
Magnetic Resonance (MR) Fingerprinting is an emerging multi-parametric quantitative MR imaging technique, for which image reconstruction methods utilizing low-rank and subspace con…
eess.IV2021★ 1 cited
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting
Mengze Gao, Huihui Ye, Tae Hyung Kim +3
We propose an unsupervised convolutional neural network (CNN) for relaxation parameter estimation. This network incorporates signal relaxation and Bloch simulations while taking ad…
eess.IV2021
Accelerated MRI Reconstruction with Separable and Enhanced Low-Rank Hankel Regularization
Xinlin Zhang, Hengfa Lu, Di Guo +5
The combination of the sparse sampling and the low-rank structured matrix reconstruction has shown promising performance, enabling a significant reduction of the magnetic resonance…