A systematic review of compressive sensing: Concepts, implementations and applications
M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …
acquired at the time of sensing. Signals can have sparse or compressible representation …
Insights into brain microstructure from in vivo DW-MRS
Many developmental processes, such as plasticity and aging, or pathological processes
such as neurological diseases are characterized by modulations of specific cellular types …
such as neurological diseases are characterized by modulations of specific cellular types …
High‐resolution 1H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction
Purpose To develop data acquisition and image reconstruction methods to enable high‐
resolution 1H MR spectroscopic imaging (MRSI) of the brain, using the recently proposed …
resolution 1H MR spectroscopic imaging (MRSI) of the brain, using the recently proposed …
Removal of nuisance signals from limited and sparse 1H MRSI data using a union‐of‐subspaces model
Purpose To remove nuisance signals (eg, water and lipid signals) for 1H MRSI data
collected from the brain with limited and/or sparse (k, t)‐space coverage. Methods A union …
collected from the brain with limited and/or sparse (k, t)‐space coverage. Methods A union …
Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces
Purpose To develop a subspace learning method for the recently proposed subspace‐
based MRSI approach known as SPICE, and achieve ultrafast 1H‐MRSI of the brain. Theory …
based MRSI approach known as SPICE, and achieve ultrafast 1H‐MRSI of the brain. Theory …
Constrained magnetic resonance spectroscopic imaging by learning nonlinear low-dimensional models
Magnetic resonance spectroscopic imaging (MRSI) is a powerful molecular imaging
modality but has very limited speed, resolution, and SNR tradeoffs. Construction of a low …
modality but has very limited speed, resolution, and SNR tradeoffs. Construction of a low …
Simultaneous QSM and metabolic imaging of the brain using SPICE
Purpose To map brain metabolites and tissue magnetic susceptibility simultaneously using a
single three‐dimensional 1H‐MRSI acquisition without water suppression. Methods The …
single three‐dimensional 1H‐MRSI acquisition without water suppression. Methods The …
Compressed sensing for high‐resolution nonlipid suppressed 1H FID MRSI of the human brain at 9.4T
S Nassirpour, P Chang, N Avdievitch… - Magnetic resonance in …, 2018 - Wiley Online Library
Purpose The aim of this study was to apply compressed sensing to accelerate the
acquisition of high resolution metabolite maps of the human brain using a nonlipid …
acquisition of high resolution metabolite maps of the human brain using a nonlipid …
Compressive sensing: Methods, techniques, and applications
V Upadhyaya, M Salim - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
According to the latest research, it is very much clear that in future we require a huge amount
of data as modern advancement in communication and signal processing generates a large …
of data as modern advancement in communication and signal processing generates a large …
Fast data acquisition techniques in magnetic resonance spectroscopic imaging
R Vidya Shankar, JC Chang, HH Hu… - NMR in …, 2019 - Wiley Online Library
Magnetic resonance spectroscopic imaging (MRSI) is an important technique for assessing
the spatial variation of metabolites in vivo. The long scan times in MRSI limit clinical …
the spatial variation of metabolites in vivo. The long scan times in MRSI limit clinical …