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Magnetic Resonance Imaging/methods

Geometric Numerical Methods and Results in the Control Imaging Problem in Nuclear Magnetic Resonance

Geometric Numerical Methods and Results in the Control Imaging Problem in Nuclear Magnetic Resonance

... numerical methods and results about the contrast imaging problem in nuclear magnetic resonance which corresponds to a Mayer problem in optimal ...continuation methods, see ...contrast ...

27

Acquisition and reconstruction methods for magnetic resonance imaging

Acquisition and reconstruction methods for magnetic resonance imaging

... susceptibility weighted imaging (SWI) [159]. Additionally, the frequency maps are computed by unwrapping the raw phase of each echo, normalizing by their TEs, and averaging to improve SNR. Combination of the ...

138

Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance

Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance

... 5 Conclusion In this paper, we investigate several methods in optimal control to tackle successfully the contrast problem by saturation in nuclear magnetic resonance. First of all, the application of ...

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Magnetic Resonance Imaging of the Heart and Large Vessels -- Survey of methods and new perspectives

Magnetic Resonance Imaging of the Heart and Large Vessels -- Survey of methods and new perspectives

... Prvotní zobrazení srdce magnetickou re- zonancí (cardiac magnetic resonance ima- ging – CMR) trpělo špatnou kvalitou obra- zu, tedy nedosahovalo požadované úrovně kvality. K velkému zlepšení došlo zavedením ...

13

Comparison of two methods for measuring the pubococcygeal line from sagittal-plane magnetic resonance imaging

Comparison of two methods for measuring the pubococcygeal line from sagittal-plane magnetic resonance imaging

... Using intra-vaginal palpation, dynamometry, electromyography and verbal feedback, an experienced pelvic floor physiotherapist taught the participants to perform PFM contractions correctly. They were then oriented to the ...

13

Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance

Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance

... These methods are usually less precise than indirect methods based on Pontryagin’s Maximum Principle, but more robust with respect to the ...transcription methods and NLP algo- ...

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Advanced image reconstruction in parallel magnetic resonance imaging : constraints and solutions.

Advanced image reconstruction in parallel magnetic resonance imaging : constraints and solutions.

... Rows 1 and 2 of Table 4.1 quantify, for an in vivo dataset, the decrease in average SNR at acceleration factors of one to four resulting from g-factor alone (described above and seen qualitatively in Fig. 4.4). These ...

180

Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation

Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation

... Spectral embedding and clustering In recent years, spectral manifold learning and clustering techniques [ 4 , 6 , 21 – 23 ] have become one of the most pop- ular modern clustering family of methods. They are ...

13

Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization

Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization

... animal imaging field, such as those related to opto-/chemo-fMRI study designs, anesthesia, and data ...analysis methods, but still contain specific considerations for the animal imaging ...

25

Evaluating Computational Models of Vision with Functional Magnetic Resonance Imaging

Evaluating Computational Models of Vision with Functional Magnetic Resonance Imaging

... competing methods in both encoding and decoding settings, positioning it as an attractive method both from the points of view of accuracy and computational ...

127

Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification

Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification

... norm in this manuscript, the method presented is not restricted to this case. Other ℓ p -norms (for 1 ≤ p) could be considered, since the method can cope with any convex penalty. Therefore, the regularization imposed on ...

15

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

... only evaluated qualitatively because of non availability of the ground truth (reference) HR image. 3.1. Simulation results The simulated data was computed by considering the experimen- tal MR scans as HR images. ...

5

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

... SR methods reduce the partial volume effect and thus improve the ...higher magnetic fields (ex: 7T scanner) allowing us to compare the results of the SR algorithms and hence enhance their performance by for ...

6

Accelerating magnetic resonance imaging by unifying sparse models and multiple receivers

Accelerating magnetic resonance imaging by unifying sparse models and multiple receivers

... The first method, DESIGN denoising, addresses the noise amplification problem common to all accelerated parallel imaging methods by post-processing the reconstructed i[r] ...

148

3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance imaging

3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance imaging

... there is a summation over all the samples. In 3D, this summation was calculated directly using a two-level nested loop, which gives a complexity of O ( p 2 ) , where p is the number of particles in k. For high ...

10

Gradient waveform design for variable density sampling in Magnetic Resonance Imaging

Gradient waveform design for variable density sampling in Magnetic Resonance Imaging

... in Magnetic Resonance Imaging Nicolas Chauffert, Pierre Weiss, Jonas Kahn and Philippe ...in Magnetic Resonance Imaging (MRI) and limit image distortions due to long echo train ...

10

Variable-density k-space filling curves for accelerated Magnetic Resonance Imaging

Variable-density k-space filling curves for accelerated Magnetic Resonance Imaging

... in magnetic resonance imaging (MRI) is essential for attaining high spatial resolution, which could aid in diagnosing certain pathologies, such as Alzheimer’s ...disease. Methods to accelerate ...

28

Integration of magnetic resonance spectroscopic imaging into the radiotherapy treatment planning

Integration of magnetic resonance spectroscopic imaging into the radiotherapy treatment planning

... wavelets, which preserve the sharpness of images. Another interesting prop- erty is that, even if we focus in the use of the ` 1 -norm in this manuscript, the presented method in not restricted to this case. Other ` p ...

196

Semiautomated 3D liver segmentation using computed tomography and magnetic resonance imaging

Semiautomated 3D liver segmentation using computed tomography and magnetic resonance imaging

... (27) . This potentially restricted the amount of volumetric er- ror being interpolated to adjacent slices and led to excellent interobserver agreement in our study. Given recent surgical advances, including increases in ...

181

Controversy in statistical analysis of functional magnetic resonance imaging data

Controversy in statistical analysis of functional magnetic resonance imaging data

... To test the validity of statistical methods for fMRI data analysis, Eklund et al. (1) used, for the first time, large- scale experimental data rather than simulated data. Using resting-state fMRI measurements to ...

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