Simultaneous multislice magnetic resonance fingerprinting with low-rank and subspace modeling
Magnetic resonance fingerprinting (MRF) is a new quantitative imaging paradigm that enables simultaneous acquisition of multiple magnetic resonance tissue parameters (e.g., T 1 , T 2 , and spin density). Recently, MRF has been integrated with simultaneous multislice (SMS) acquisitions to enable volu...
Main Authors: | Zhao, Bo, Bilgic, Berkin, Adalsteinsson, Elfar, Griswold, Mark A., Wald, Lawrence L., Setsompop, Kawin |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2020
|
Online Access: | https://hdl.handle.net/1721.1/128785 |
Similar Items
-
Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling: A Subspace Approach to Improved MRF Reconstruction
by: Zhao, Bo, et al.
Published: (2021) -
Fast group matching for MR fingerprinting reconstruction
by: Cauley, Stephen F., et al.
Published: (2017) -
Accelerated Diffusion Spectrum Imaging with Compressed Sensing Using Adaptive Dictionaries
by: Bilgic, Berkin, et al.
Published: (2014) -
Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding
by: Dong, Zijing, et al.
Published: (2022) -
Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM)
by: Iyer, Siddharth(Siddharth Srinivasan), et al.
Published: (2021)