Accelerated Dynamic MRI using Self Expressiveness Prior

Balachandrasekaran, Arvind ;   Jacob, Mathews

Tags Compressive sensing & samplingImage reconstruction - analytical & iterative methodsMagnetic resonance imaging (MRI)

We introduce a self-expressiveness prior to exploit the redundancies between voxel profiles in dynamic MRI. Specifically, we express the...

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Accelerating MR Parameter Mapping using Nonlinear Manifold Learning and Supervised Pre-Imaging

Zhou, Yihang ;   Shi, Chao ;   Ren, Fuquan ;   Lyu, Jingyuan ;   Liang, Dong ;   Ying, Leslie

Tags Compressive sensing & samplingMagnetic resonance imaging (MRI)Image reconstruction - analytical & iterative methods

In this paper, we propose a new reconstruction framework that utilizes nonlinear models to sparsely represent the MR parameter-weighted...

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Autocalibrated LORAKS for Fast Constrained MRI Reconstruction

Haldar, Justin

Tags Compressive sensing & samplingImage reconstruction - analytical & iterative methodsMagnetic resonance imaging (MRI)

Low-rank modeling of local k-space neighborhoods (LORAKS) is a recent novel framework for reconstructing MRI images from sparsely-sampled...

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Compressed Sensing with Non-Uniform Fast Fourier Transform for Radial Ultra-Short Echo Time (UTE) MRI

Yang, Xiahan ;   Zheng, Yahong Rosa ;   Yang, Ming ;   Ma, Lixin

Tags Compressive sensing & samplingMagnetic resonance imaging (MRI)Heart

This paper proposes a compressive sensing (CS) method for radial Magnetic Resonance Imaging (MRI) using non-uniform fast fourier transform...

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Maximum Likelihood Reconstruction for Magnetic Resonance Fingerprinting

Zhao, Bo ;   Lam, Fan ;   Bilgic, Berkin ;   Ye, Huihui ;   Setsompop, Kawin

Tags Magnetic resonance imaging (MRI)Compressive sensing & samplingImage reconstruction - analytical & iterative methods

In this paper, we introduce a statistical estimation framework for magnetic resonance fingerprinting (MRF), a recently proposed quantitative...

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Multiband Dynamic Compressed Sensing

Yoon, Huisu ;   Lee, Dongwook ;   Lee, Juyoung ;   Choi, Seung Hong ;   Park, Sunghong ;   Ye, Jong Chul

Tags Compressive sensing & samplingMagnetic resonance imaging (MRI)Brain

The combination of the PI with CS reconstruction has been an important research topic in MR community due to its potential for further...

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Rapid Free-Breathing Dynamic Contrast-Enhanced MRI using Motion-Resolved Compressed Sensing

Feng, Li ;   Sodickson, Daniel K. ;   Otazo, Ricardo

Tags Magnetic resonance imaging (MRI)AbdomenImage reconstruction - analytical & iterative methods

Compressed sensing is a powerful rapid imaging approach for Magnetic Resonance Imaging (MRI) and has been applied to many clinical...

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Recovery of Parametric Manifold from Reduced Measurements: Application to Magnetic Resonance Parameter Mapping

Shi, Chao ;   Zhou, Yihang ;   Wang, Yanhua ;   Lyu, Jingyuan ;   Liang, Dong ;   Ying, Leslie

Tags Compressive sensing & samplingMagnetic resonance imaging (MRI)Image reconstruction - analytical & iterative methods

Magnetic resonance (MR) quantitative imaging such as parameter mapping has great potential in clinical applications. It requires acquisition of...

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Two Step Recovery of Jointly Sparse and Low-Rank Matrices: Theoretical Guarantees

Biswas, Sampurna ;   Poddar, Sunrita ;   Dasgupta, Soura ;   Mudumbai, Raghuraman ;   Jacob, Mathews

Tags Compressive sensing & samplingImage reconstruction - analytical & iterative methodsMagnetic resonance imaging (MRI)

We introduce a two step algorithm with theoretical guarantees to recover a jointly sparse and low-rank matrix from undersampled...

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