Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform

Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform

Compressed Sensing (CS) has been applied in dynamic Magnetic Resonance Imaging (MRI) to accelerate the data acquisition without noticeably degrading the spatial-temporal resolution. A suitable sparsity basis is one of the key components to successful CS applications. Conventionally, a multidimension...

Full description

Bibliographic Details
Main Authors:	Yu, Yeyang, Jin, Jin, Liu, Feng, Crozier, Stuart
Format:	Online
Language:	English
Published:	Public Library of Science 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4047014/

Similar Items

An algorithm for learning sparsifying transforms of multidimensional signals
by: Oscar Enrique Hurtado-Camacho, et al.
Published: (2017-01-01)

Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging
by: Wang, Shanshan, et al.
Published: (2016)

Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition
by: Li Jin, et al.
Published: (2017-12-01)

Evaluation of sparsifying algorithms for speech signals
by: Kassim, Liban A., et al.
Published: (2012)

Cascaded regression with sparsified feature covariance matrix for facial landmark detection
by: Sánchez Lozano, Enrique, et al.
Published: (2016)

An improved Four-Russians method and sparsified Four-Russians algorithm for RNA folding
by: Frid, Yelena, et al.
Published: (2016)

Video compressive sensing for dynamic MRI
by: Shi, Jianing V, et al.
Published: (2012)

Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz
by: Wang, Qingzhu, et al.
Published: (2016)

Low storage space for compressive sensing: semi-tensor product approach
by: Jinming Wang, et al.
Published: (2017-07-01)

Prospective acceleration of diffusion tensor imaging with compressed sensing using adaptive dictionaries
by: McClymont, Darryl, et al.
Published: (2015)

C7-Decompositions of the Tensor Product of Complete Graphs
by: Manikandan R.S., et al.
Published: (2017-08-01)

Financial market predictability with tensor decomposition and links forecast
by: A. Spelta
Published: (2017-05-01)

Tensor decomposition for multi-tissue gene expression experiments
by: Hore, Victoria, et al.
Published: (2016)

Permutation transformations of tensors with an application
by: Li, Yao-Tang, et al.
Published: (2016)

Energy Preserved Sampling for Compressed Sensing MRI
by: Zhang, Yudong, et al.
Published: (2014)

Compressed sensing in MRI – mathematical preliminaries and basic examples
by: Błaszczyk Łukasz
Published: (2016-03-01)

Multichannel Compressive Sensing MRI Using Noiselet Encoding
by: Pawar, Kamlesh, et al.
Published: (2015)

Distributed compressed sensing to accelerate cine cardiac MRI
by: Zamani, Jafar, et al.
Published: (2015)

Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
by: Wang, Yulin, et al.
Published: (2014)

Parameter selection for nonnegative l1 matrix/tensor sparse decomposition
by: Wang, Y., et al.
Published: (2015)

Rank-One and Transformed Sparse Decomposition for Dynamic Cardiac MRI
by: Xiu, Xianchao, et al.
Published: (2015)

Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts
by: Pérez Pérez, Jorge Eduardo, et al.
Published: (2015)

CTD: Fast, accurate, and interpretable method for static and dynamic tensor decompositions.
by: Jungwoo Lee, et al.

Crossing Fibers Detection with an Analytical High Order Tensor Decomposition
by: Megherbi, T., et al.
Published: (2014)

Fusion Tensor Subspace Transformation Framework
by: Wang, Su-Jing, et al.
Published: (2013)

Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression
by: Parkale, Yuvraj V., et al.
Published: (2016)

Mapping multidimensional electronic structure and ultrafast dynamics with single-element detection and compressive sensing
by: Spencer, Austin P., et al.
Published: (2016)

Compressed sensing accelerated 4D-flow MRI in the murine aorta
by: Fluckiger, J, et al.
Published: (2013)

Compressed sensing cardiac MRI exploiting spatio-temporal sparsity
by: Zamani, Jafar, et al.
Published: (2013)

Accelerated cine DENSE MRI using compressed sensing and parallel imaging
by: Chen, Xiao, et al.
Published: (2014)

Compression2: compressed sensing with compressed coil arrays
by: Adluru, Ganesh, et al.
Published: (2012)

Mechanism and kinetics of cellobiose decomposition in hot-compressed water
by: Mohd Shafie, Zainun
Published: (2015)

Empirical evaluation of decomposition strategy for wavelet video compression.
by: Fakeh, Rohmad, et al.
Published: (2009)

Compressive Sensing Based Design of Sparse Tripole Arrays
by: Hawes, Matthew, et al.
Published: (2015)

Model for B1 Imaging in MRI Using the Rotating RF Field
by: Trakic, Adnan, et al.
Published: (2014)

Compressed sensing MRI via fast linearized preconditioned alternating direction method of multipliers
by: Shanshan Chen, et al.
Published: (2017-04-01)

Improved navigator based diffusion tensor MRI of the human heart in vivo
by: Ferreira, PF, et al.
Published: (2013)

Subject Based Registration for Individualized Analysis of Diffusion Tensor MRI
by: Suri, Asif K., et al.
Published: (2015)

Probing white-matter microstructure with higher-order diffusion tensors and susceptibility tensor MRI
by: Liu, Chunlei, et al.
Published: (2013)

A CT Reconstruction Algorithm Based on Non-Aliasing Contourlet Transform and Compressive Sensing
by: Deng, Lu-zhen, et al.
Published: (2014)