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Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction
2017
Computational and Mathematical Methods in Medicine
To develop generic optimization strategies for image reconstruction using graphical processing units (GPUs) in magnetic resonance imaging (MRI) and to exemplarily report on our experience with a highly ...
Real-time reconstruction with low latency and frame rates up to 30 frames per second is demonstrated. Conclusion. ...
Recent advances in magnetic resonance imaging (MRI) pose new challenges to the implementations of associated algorithms in order to keep data acquisition and reconstruction times on par. ...
doi:10.1155/2017/3527269
pmid:29463984
pmcid:PMC5804376
fatcat:4cnivjba3zbqphtpxk37njwnhm
Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions
2015
Magnetic Resonance Imaging Clinics of North America
Dynamic procedural guidance with real-time imaging has pushed the limits of MR technology, demanding rapid acquisition and reconstruction paired with interactive control and device visualization. ...
This article reviews the technical aspects of real-time MR sequences that enable MR-guided interventions. ...
Inversion pulses can be inserted into the real-time pulse sequence for infarct imaging 8 . ...
doi:10.1016/j.mric.2015.05.006
pmid:26499283
pmcid:PMC4621782
fatcat:jhyfecgj3je37kl22agzvpnjw4
Improved real-time exercise stress cardiac cine imaging using self consistent parallel imaging with temporal sensitivity estimation (TSPIRIT)
2012
Journal of Cardiovascular Magnetic Resonance
To improve the image quality and increase the signalnoise-ratio of real-time exercise stress cardiac cine imaging, we extended the recently proposed SPIRIT image reconstruction by incorporating temporal ...
Example images acquired using acceleration rate 4 and reconstructed using linear TGRAPPA (a,c,e) and non-linear TSPIRIT (b, d,f). ...
Summary To improve the image quality and increase the signalnoise-ratio of real-time exercise stress cardiac cine imaging, we extended the recently proposed SPIRIT image reconstruction by incorporating ...
doi:10.1186/1532-429x-14-s1-p254
pmcid:PMC3311101
fatcat:anakaiutfbc27hpyigx3u7r4dy
Parallel Magnetic Resonance Imaging
[article]
2015
arXiv
pre-print
The main disadvantage of Magnetic Resonance Imaging (MRI) are its long scan times and, in consequence, its sensitivity to motion. ...
Because parallel magnetic resonance imaging can be used to accelerate basically any imaging sequence it has many important applications. ...
Because parallel magnetic resonance imaging can be used to accelerate basically any imaging sequence it has many important applications. ...
arXiv:1501.06209v2
fatcat:32f4xy4mc5afdmsh2z2wtkbafu
Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions
2021
Investigative Magnetic Resonance Imaging
In addition, we present several research trends in this direction, including deep learning-based image reconstruction and other advanced real-time cardiac MRI strategies that reconstruct images acquired ...
In particular, we classified existing techniques into two categories based on the use of non-iterative and iterative reconstruction. ...
INTRODUCTION Cardiac magnetic resonance imaging (MRI) is a valuable and powerful non-invasive imaging modality for evaluating the cardiovascular system. ...
doi:10.13104/imri.2021.25.4.252
fatcat:75fc433arjhd5krviykot7qyou
Physics-based Reconstruction Methods for Magnetic Resonance Imaging
[article]
2021
arXiv
pre-print
Conventional Magnetic Resonance Imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems. ...
image reconstruction -- addressing both shortcomings of conventional MRI at the same time. ...
Further, synthetic images were computed for all inversion/echo times and the image series was then converted into movies showing the contrast changes in Supplementary Videos 1 and 2. ...
arXiv:2010.01403v3
fatcat:dwd2abbjgvhpvh4c63lmmyaouy
Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver
2014
Magnetic Resonance in Medicine
Conclusion- The proposed HSS-Inverse method is highly efficient and should enable real-time CS reconstruction on standard MRI vendors' computational hardware. ...
In vivo 3T brain data at multiple image contrasts, resolutions, acceleration factors, and number of receive channels were used for this comparison. ...
Introduction In clinical applications of structural magnetic resonance imaging (MRI), there exists a multiobjective tradeoff between image quality, imaging time, and reconstruction time. ...
doi:10.1002/mrm.25222
pmid:24639238
pmcid:PMC4167172
fatcat:56pv6xio7jcs7hqzf6fie7ukhe
Deep Unrolling for Magnetic Resonance Fingerprinting
[article]
2022
arXiv
pre-print
Magnetic Resonance Fingerprinting (MRF) has emerged as a promising quantitative MR imaging approach. ...
In this paper, as a complementary to [1], we investigate other choices of encoders to build the proximal neural network, and evaluate the deep unrolling algorithm on real accelerated MRF scans with non-Cartesian ...
This research study was conducted retrospectively using anonymised human subject scans made available by GE Healthcare who obtained informed consent in compliance with the German Act on Medical Devices ...
arXiv:2201.09375v2
fatcat:2jpezqxq7zdjzfpibvpeyg4kdm
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
[article]
2022
arXiv
pre-print
Physics-driven deep learning methods have emerged as a powerful tool for computational magnetic resonance imaging (MRI) problems, pushing reconstruction performance to new limits. ...
We consider inverse problems with both linear and non-linear forward models for computational MRI, and review the classical approaches for solving these. ...
Solving the non-linear inverse problem in classical computational MRI A more accurate and complete description of the MR signal model is obtained if other effects like tissue relaxivity, off-resonance, ...
arXiv:2203.12215v1
fatcat:6k4camjddveqtlt33m4a7vq4cu
Reconstruction of undersampled radial PatLoc imaging using total generalized variation
2012
Magnetic Resonance in Medicine
Using this operator, it is also possible to implement an iterative conjugate gradient (CG) SENSE based method for PatLoc reconstruction, which leads to a significant reduction of computation time in comparison ...
With this operator, it is also possible to implement an adapted iterative SENSE method (18) for PatLoc reconstruction, which leads to a tremendous reduction of computation time in comparison to conventional ...
Due to the extensive requirements in terms of computation time and memory, the inversion of the encoding matrix was only performed for this experiment. ...
doi:10.1002/mrm.24426
pmid:22847824
pmcid:PMC4878715
fatcat:fmtqttlylzejhdg3appdy2w3su
Adaptive Volterra Filter for Parallel MRI Reconstruction
2019
EURASIP Journal on Advances in Signal Processing
Parallel magnetic resonance imaging (MRI) technique is able to accelerate MRI speed for reducing costs and enhancing patient's comfortability. ...
However, noise cannot be suppressed or removed during the linear reconstruction process and therefore reconstructed image often suffers serious noise, especially when the acceleration factor is high. ...
. b-g Reconstructed images using AV-GRAPPA with different numbers of the second-order terms. ...
doi:10.1186/s13634-019-0633-5
fatcat:anroaya46zhqbfrew2csdyxys4
3Parallel magnetic resonance imaging with adaptive radius ink-space (PARS): Constrained image reconstruction usingk-space locality in radiofrequency coil encoded data
2005
Magnetic Resonance in Medicine
The proposed method, parallel magnetic resonance imaging with adaptive radius in k-space (PARS), harnesses this physical property of RF coil encoding via a sliding-kernel approach. ...
PARS reconstructions of undersampled in vivo Cartesian and non-Cartesian data sets are shown and are compared selectively with traditional SENSE reconstructions. ...
ACKNOWLEDGMENTS The authors thank René Botnar for his generous help and guidance in the acquisition of non-Cartesian data sets used in this work. ...
doi:10.1002/mrm.20490
pmid:15906283
fatcat:y4udnykxxrgktmebhf4obpinxy
Accelerating the computation for real-time application of the sinc function using graphics processing units
2020
Journal of Analytical Science and Technology
In magnetic resonance imaging, the fidelity of image reconstruction is an important criterion. ...
We implemented an accelerated convolution function with the sinc kernel using GPUs computing and evaluated the reconstruction performance. ...
Availability of data and materials The computational code sets used in this study are available on a reasonable request from the corresponding author. ...
doi:10.1186/s40543-020-0205-1
fatcat:ol3ipeaqjng6zotyymfyasbx7a
Accelerated free breathing ECG triggered contrast enhanced pulmonary vein magnetic resonance angiography using compressed sensing
2014
Journal of Cardiovascular Magnetic Resonance
To investigate the feasibility of accelerated electrocardiogram (ECG)-triggered contrast enhanced pulmonary vein magnetic resonance angiography (CE-PV MRA) with isotropic spatial resolution using compressed ...
There were no significant differences in the subjective image quality scores between the techniques (3.32 ± 0.94 vs. 3.53 ± 0.77 using the proposed technique). ...
Both signal to noise ratio (SNR) and contrast to noise ratio (CNR) were not examined in our study due to non-linear LOST reconstruction. ...
doi:10.1186/s12968-014-0091-z
pmid:25416082
pmcid:PMC4240816
fatcat:xzo4ilo4kvbt7larkybmsqkxmy
Fast concomitant gradient field and field inhomogeneity correction for spiral cardiac imaging
2011
Magnetic Resonance in Medicine
Non-Cartesian imaging provides many advantages in terms of flexibility, functionality, and speed. However, a major drawback to these imaging methods is off-resonance distortion artifacts. ...
To take advantage of their speed and accuracy, the algorithms are applied to a real-time cardiac study and a high-resolution cardiac study. ...
We reduce the computational complexity to correct for both inhomogeneity and concomitant off-resonance effects in real-time. ...
doi:10.1002/mrm.22802
pmid:21384423
pmcid:PMC3158031
fatcat:trffwoz3ybh6vbsnbrdyt76nwq
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