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[PDF] Top 20 Physically plausible K-space trajectories for Compressed Sensing in MRI: From simulations to real acquisitions

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Physically plausible K-space trajectories for Compressed Sensing in MRI: From simulations to real acquisitions

Physically plausible K-space trajectories for Compressed Sensing in MRI: From simulations to real acquisitions

... used in radiology to image the anatomy and function of the body in both health and ...disease. MRI is probably one of the most successful application fields of compressed sensing ... Voir le document complet

2

Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI

Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI

... Resorting to 3D acquisitions If acquiring a random distribution of point-wise samples using a 2D acquisition is gen- erally impractical, the situation improves when considering 3D ...al. to use the ... Voir le document complet

157

Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography

Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography

... Performing k-space variable density sampling is a popular way of reducing scanning time in Magnetic Resonance Imaging ...how to traverse it using gradient waveforms. In this paper, we ... Voir le document complet

5

Online MR image reconstruction for compressed sensing acquisition in T2* imaging

Online MR image reconstruction for compressed sensing acquisition in T2* imaging

... propose to take advantage of the sequential aspect of segmented acquisition to start the recon- struction process during dead times in acquisition ...delivered to the MR technician during the ... Voir le document complet

16

Variable density sampling with continuous trajectories. Application to MRI.

Variable density sampling with continuous trajectories. Application to MRI.

... irrelevant. In many imaging ap- plications, the number of samples is of secondary importance compared to the time spent to collect the ...is MRI, where the important variable to control ... Voir le document complet

31

Blind Calibration For Compressed Sensing By Convex Optimization

Blind Calibration For Compressed Sensing By Convex Optimization

... related to the basis mismatch prob- lem [13], where the signals are truly sparse in a basis that is slightly different from the chosen representation basis (for instance with a parametric ... Voir le document complet

5

Shortest DNA cyclic cover in compressed space

Shortest DNA cyclic cover in compressed space

... superstring for a set of input words is a way to compress a ...allow to save characters. The Shortest Superstring problem is crucial in text ...us from finding, not only an optimal, but ... Voir le document complet

10

Multichannel Compressed Sensing and its Application in Radioastronomy

Multichannel Compressed Sensing and its Application in Radioastronomy

... 60% for the number of channels 20 and 10, respectively), we can see that DecGMCA conserves well the continuity of both criteria and outperforms MC+GMCA even when the mask is very ...due to the fact that ... Voir le document complet

203

Regularized Bayesian compressed sensing in ultrasound imaging

Regularized Bayesian compressed sensing in ultrasound imaging

... extracted from a simulated ultrasound image and (b) Magnitude of its 2D ...adapted to US ...all. In our example, the reconstructions have been obtained by using 10% of the original images ...sampled. ... Voir le document complet

6

Compressed sensing for the extraction of atrial fibrillation patterns from surface electrocardiograms

Compressed sensing for the extraction of atrial fibrillation patterns from surface electrocardiograms

... heartbeat in the surface electrocardio- gram (ECG). Classical techniques aiming to extract the f -wave are based on average beat subtraction (ABS) or blind source separation ...limitations in ... Voir le document complet

6

Analysis vs Synthesis-based Regularization for combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla

Analysis vs Synthesis-based Regularization for combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla

... Context: Compressed-Sensing MRI. Magnetic Resonance Imaging (MRI) is a key imaging technique to probe soft tissues ...prohibitive in the context of high resolution imaging. ... Voir le document complet

6

A Compressed Sensing Approach to 3D Weak Lensing

A Compressed Sensing Approach to 3D Weak Lensing

... method to recon- struct multiple clusters along the line of ...seen in the single cluster case, our method is seen to be sensitive enough to detect the presence of more than one structure ... Voir le document complet

18

Sampling by blocks of measurements in compressed sensing

Sampling by blocks of measurements in compressed sensing

... signal in the case where the sampling strategy consists in randomly choosing blocks of ...corresponds to a set of rows of an orthogonal sensing ...chosen in [5], while we assert ... Voir le document complet

5

Analysis of weighted l̳₁-minimization for model based compressed sensing

Analysis of weighted l̳₁-minimization for model based compressed sensing

... Specifically we consider the case when the probabilities pi mentioned above are values of a continuous function at uniformly spaced points on a given interval. In t[r] ... Voir le document complet

76

Shearlet Transform: a Good Candidate for Compressed Sensing in Optical Coherence Tomography

Shearlet Transform: a Good Candidate for Compressed Sensing in Optical Coherence Tomography

... the in-situ characterization (optical biopsy) of the olfactory mucosa in order to prevent an eventual smell ...deficiency. In this case, CS could provide an interesting way to perform ... Voir le document complet

5

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams

... Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams Maroua Bahri 1 and Albert Bifet 1 2 and Silviu Maniu 3 4 5 and Rodrigo ...impossible to infer learning models in the ... Voir le document complet

9

Algorithmic solutions toward applications of compressed sensing for optical imaging

Algorithmic solutions toward applications of compressed sensing for optical imaging

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

133

Measurement of Tongue Tip Velocity from Real-Time MRI and Phase-Contrast Cine-MRI in Consonant Production

Measurement of Tongue Tip Velocity from Real-Time MRI and Phase-Contrast Cine-MRI in Consonant Production

... installed in Nancy Central Regional University Hospital under the approved ethics protocol “METHODO” ...a real-time MRI sequence [ 21 ] with a slice placed in mid-sagittal orientation (TR = ... Voir le document complet

15

A Novel Threshold based Compressed Channel Sensing in OFDM System

A Novel Threshold based Compressed Channel Sensing in OFDM System

... set to be the channel sparsity S) and 25% of pilots in the overall considered E b / N 0 , how- ever, the spectral eciency of the proposed method is much ...S in the rst channel model), the oracle ... Voir le document complet

21

Compressed Sensing and Best Approximation from Unions of Subspaces: Beyond Dictionaries

Compressed Sensing and Best Approximation from Unions of Subspaces: Beyond Dictionaries

... CONCLUSIONS In this work we extend classical results in the sparse recovery field, by replacing the union of all k-sparse vectors with an arbitrary finite union of low-dimensional ...null ... Voir le document complet

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