[PDF] Top 20 Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI
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Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI
... SPARKLING for T1-weighting 77 per ...images of a region of interest in the medial parieto- occipital cortex (bottom row) are shown in ...3.14b-f) for the SPARKLING trajectory, ... Voir le document complet
157
SPARKLING: variable-density k-space filling curves for accelerated T 2 * -weighted MRI
... relevant in the context of compressed sensing where large acceleration factors can be ...results of such variable-density k-space trajectories are presented for a ... Voir le document complet
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Variable-density k-space filling curves for accelerated Magnetic Resonance Imaging
... times in magnetic resonance imaging (MRI) is essential for attaining high spatial resolution, which could aid in diagnosing certain pathologies, such as Alzheimer’s ...time of segmented ... Voir le document complet
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Computational design and fabrication of portable MRI systems
... members of the Martinos community: Krista, for keeping the lab running; Erica, Eli, Melissa, and Monika for our many hours shared in lab; Bragi Sveinsson and Bo Zhao, for many hours ... Voir le document complet
212
Ontology-Based Annotation of Brain MRI Images
... number of patches extracted from the selected ROIs was around 16 (mean: ...number of consistent interpretations inferred for the patches was about 5 (mean: ...interpretation for the patches ... Voir le document complet
6
Combinatorial optimization and Markov decision process for planning MRI examinations
... 摘要： 本研究是在与一家法国医院合作中受到启发，目的是减少在神经内科进行治疗的 中风病人的住院时间。中风病人需要得到及时的检查、诊断与治疗，这些检查又依赖 于昂贵且使用量极高的图像仪器，如核磁共振仪（MRI）。因此，对神经内科来说， 通过减少病人等待检查的时间来减少病人的住院时间是非常重要的。 ... Voir le document complet
159
Sammba-MRI: A library for processing SmAll-MaMmal BrAin MRI data in Python
... pipeline, MRI, registration, small animal neuroimaging, Python ...use of magnetic resonance imaging (MRI) methods in animals provides considerable benefits for improving our ... Voir le document complet
10
Space-filling designs for mixtures
... models of mixtures (Scheffe model, ...ficients of the model. However, whatever the degree of the model, classical designs position the points at the periphery of the experimental space ... Voir le document complet
18
Characterization of tumor angiogenesis in rat brain using iron-based vessel size index MRI in combination with gadolinium-based dynamic contrast-enhanced MRI.: Combined VSI and DCE MRI
... estimates of the plasma volume fraction. The VSI results were in good agreement with estimates obtained under similar experimental conditions (Valable et al ...estimates of VSI are biased by the same ... Voir le document complet
39
HYR2PICS: Hybrid Regularized Reconstruction for combined Parallel Imaging and Compressive Sensing in MRI
... impact of hybrid ...slices in- coherent sampling schemes may appear more ...assessment of reconstruction quality through the computation of Signal-to-Noise Ratio (SNR) confirms our visual ... Voir le document complet
5
Optimal Design of Multiple Q-shells experiments for Diffusion MRI
... Fourier space, instead of on a unique sphere. These techniques require in- tensive sampling in the q-space to reconstruct E(q), and the design of a sampling strategy is ... Voir le document complet
10
Quantitative DLA-based compressed sensing for T1-weighted acquisitions.
... Examples of fully encoded and retrospectively DLA-CS undersampled T 1 weighted images of the buccal ganglia are shown in Figure 3Erreur ! Source du renvoi ...introuvable.. In a first step we ... Voir le document complet
14
Patch-based super-resolution for arterial spin labeling MRI
... neration of HR CBF images, without increa- sing the actual acquisition ...traditional in- terpolation methods, especially in gray mat- ter, which is of particular interest in clinical ... Voir le document complet
2
Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences
... number of design points required for a given prediction accuracy can be related to the correlation length of the model [ 12 , 29 ...behavior of the function to be approximated, or that ... Voir le document complet
29
SPARKLING: Novel Non-Cartesian Sampling Schemes for Accelerated 2D Anatomical Imaging at 7T Using Compressed Sensing
... "SPARKLING” curves (Segmented Projection Algorithm for Random K-space sampLING) as a new type of non-Cartesian trajectories to perform a more efficient sampling in 2D ... Voir le document complet
5
A Novel Threshold based Compressed Channel Sensing in OFDM System
... channels. Of course, S max (maximum possible value of S) can be used [18], however, it may cause loss in estimation ...estimator for CS based sparse channel estimation with- out ... Voir le document complet
21
Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences
... hint of the contents. In this paper, we present a parameterized submodular design criterion, based of the cumulative distribution function ...(c.d.f.) of the distance of a ... Voir le document complet
29
Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI
... versions of kt-BLAST and kt-SENSE reconstruction algorithms, refer- red to as kt-FOCUSS [ 20 , 21 ], have been designed to com- bine the CS theory in space with Fourier or alternative transforms ... Voir le document complet
22
On domain decomposition with space filling curves for the parallel solution of the coupled Maxwell/Vlasov equations
... subset of graphs that contain nodes of maximum degree ...quality of a solution. This is especially true for DD problems and in particular for the DD problems that are dealt with ... Voir le document complet
101
Design of computer experiments: space filling and beyond
... considered in (Pistone and Vicario, 2010). 2.3 Other approaches to space-filling There appear a number of alternative approaches to space-filling in the literature, most ... Voir le document complet
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