A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction
2017
Computational and Mathematical Methods in Medicine
Preserved Fulltext
Other Versions
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 ...
accelerated implementation of the nonlinear inversion (NLINV) algorithm for dynamic MRI with high frame rates. ...
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
Accelerated multidimensional radiofrequency pulse design for parallel transmission using concurrent computation on multiple graphics processing units
2010
Magnetic Resonance in Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The use of graphics processing units for computations is a recent approach for accelerating image reconstruction applications. ...
This is critical because the construction of multidimensional RF pulses often needs to be in real time. ...
The proposed method can be easily transferred to image reconstruction using numerical inverse approaches including multiple receiver coils (19, 20) . ...
doi:10.1002/mrm.22690
pmid:21264929
pmcid:PMC3069537
fatcat:dwwxt2afinf2dif7kvyw6v4osu
Physics-based Reconstruction Methods for Magnetic Resonance Imaging
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
Advances in deep learning for real-time image and video reconstruction and processing
2020
Journal of Real-Time Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Reconstructing image is a central problem in many key applications including super-resolution imaging, X-ray tomography, ultrasound imaging, remote sensing, and magnetic resonance imaging. ...
Real or near real-time processing capabilities are important in image reconstruction techniques for real-world applications. ...
Reconstructing image is a central problem in many key applications including super-resolution imaging, X-ray tomography, ultrasound imaging, remote sensing, and magnetic resonance imaging. ...
doi:10.1007/s11554-020-01026-2
fatcat:23jzdzkoxfdnrjfeew7bpwy7fm
Real-Time Magnetic Resonance Imaging
2019
Investigative Radiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The aim of this study is to evaluate a real-time magnetic resonance imaging (MRI) method that not only promises high spatiotemporal resolution but also practical robustness in a wide range of scientific ...
T he ability to perform magnetic resonance imaging (MRI) examinations in real time solves a variety of problems in routine diagnostic imaging. ...
Serial image reconstruction is achieved by calibration-less parallel imaging using nonlinear inversion. ...
doi:10.1097/rli.0000000000000584
pmid:31261294
fatcat:o6m4ftfmhndlbjqdqpqindcofa
Body coil reference for inverse reconstructions of multi-coil data—the case for real-time MRI
2019
Quantitative Imaging in Medicine and Surgery
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Real-time magnetic resonance imaging (MRI) or model-based MRI reconstructions of parametric maps require the solution of an ill-posed nonlinear inverse problem. ...
The method is evaluated for anatomical real-time MRI and model-based phase-contrast flow MRI in real-time at 3 T. ...
MRI, magnetic resonance imaging.
B C D A based phase-contrast flow MRI in real-time. ...
doi:10.21037/qims.2019.08.14
pmid:31867235
pmcid:PMC6902137
fatcat:bodd7rtc45h4xcr64zoe5wqs3q
Fast Undersampled Functional Magnetic Resonance Imaging Using Nonlinear Regularized Parallel Image Reconstruction
2011
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We demonstrate that by using nonlinear regularization it is possible to more accurately localize brain activation from highly undersampled k-space data at the expense of an increase in computation time ...
This is achieved by utilizing a nonlinear regularized parallel image reconstruction scheme, where the penalty term of the cost function is set to the L 1 -norm measured in some transform domain. ...
Introduction Conventional functional magnetic resonance imaging (fMRI) is performed using multi-slice EPI with TR of 2-3 s. ...
doi:10.1371/journal.pone.0028822
pmid:22194921
pmcid:PMC3237553
fatcat:ozk7o53cvnekrcozw5lvcysi64
Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions
2021
Investigative Magnetic Resonance Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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 ...
Cardiac magnetic resonance imaging (MRI) serves as a clinical gold-standard noninvasive imaging technique for the assessment of global and regional cardiac function. ...
Second, the regularized nonlinear inversion (NLINV) (27) method is used to formulate the reconstruction of both image and coil sensitivity maps as a more general nonlinear inverse problem using a Newtonian ...
doi:10.13104/imri.2021.25.4.252
fatcat:75fc433arjhd5krviykot7qyou
Real-time magnetic resonance imaging of cardiac function and flow-recent progress
2014
Quantitative Imaging in Medicine and Surgery
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Cardiac structure, function and flow are most commonly studied by ultrasound, X-ray and magnetic resonance imaging (MRI) techniques. ...
Recent advances in the development of novel real-time MRI techniques now offer dynamic imaging of the heart and major vessels with high spatial and temporal resolution, so that examinations may be performed ...
MRI, magnetic resonance imaging; NLINV, regularized nonlinear inversion. ...
doi:10.3978/j.issn.2223-4292.2014.06.03
pmid:25392819
pmcid:PMC4213425
fatcat:vx6kpqicdzbqhklogdp7idzcqa
Neural network image reconstruction for magnetic particle imaging
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We investigate neural network image reconstruction for magnetic particle imaging. The network performance depends strongly on the convolution effects of the spectrum input data. ...
The weighting matrix corresponds to an inverse system matrix, where an incoherency of basis vectors due to a low convolution effects as well as a nonlinear activation function plays a crucial role in retrieving ...
Neural Network Image Reconstruction for MPI Ferromagnetic nanoparticles with a single domain behave as if in a paramagnetic state for an external magnetic field because of a relatively low relaxation time ...
arXiv:1709.07560v1
fatcat:2p3vnsbho5atxl5vta637ywjzy
2007 Index IEEE Transactions on Medical Imaging Vol. 26
2007
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
., +, TMI March 2007 385-392 Field Inhomogeneity Correction Based on Gridding Reconstruction for Magnetic Resonance Imaging. ...
., +, TMI March 2007 385-392 Field Inhomogeneity Correction Based on Gridding Reconstruction for Magnetic Resonance Imaging. ...
doi:10.1109/tmi.2007.912905
fatcat:4kodjew23ffjvebqt5fopjo5oa
Peak flow velocities in the ascending aorta-real-time phase-contrast magnetic resonance imaging vs. cine magnetic resonance imaging and echocardiography
2015
Quantitative Imaging in Medicine and Surgery
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This prospective study of eight healthy volunteers evaluates peak flow velocities (PFV) in the ascending aorta using real-time phase-contrast magnetic resonance imaging (MRI) in comparison to cine phase-contrast ...
nonlinear inversion (NLINV). ...
Real-time MRI was based on a highly undersampled radial gradient-echo sequence with image reconstruction by regularized nonlinear inversion (NLINV) (8) . ...
doi:10.3978/j.issn.2223-4292.2015.08.08
pmid:26682138
pmcid:PMC4671970
fatcat:4ocqgxnekfbwxhezrv5u4w6eqy
Content-aware compressive magnetic resonance image reconstruction
2018
Magnetic Resonance Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper describes an adaptive approach to regularizing model-based reconstructions in magnetic resonance imaging to account for local structure or image content. ...
aliasing from accelerated imaging. ...
Salerno's research group, who aided in the retrospective collection of datasets used in this paper. ...
doi:10.1016/j.mri.2018.06.008
pmid:29935257
pmcid:PMC6102097
fatcat:4wmzo2cqqvailj6aawxxftowpa
Parallel imaging with nonlinear reconstruction using variational penalties
2011
Magnetic Resonance in Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampling patterns is presented. ...
As was shown in (3, 8) , this problem can be solved using the iteratively regularized Gauss-Newton (IRGN) method (28-31), i.e., computing in each step k for given x k := (u k , c k ) the solution δx:= ...
Reconstructions of real-time images of the beating heart are displayed in Fig. 6 together with plots of the signal intensities across an indicated horizontal line. ...
doi:10.1002/mrm.22964
pmid:21710612
pmcid:PMC4011127
fatcat:hzre7faevrbh3b24r3brnejs2e
Wavelet Domain Radiofrequency Pulse Design Applied to Magnetic Resonance Imaging
2015
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Images were reconstructed from the raw data file using the GE Healthcare Orchestra reconstruction software development kit in MATLAB. ...
Diffusion image analysis was completed using the software packages AFNI (Analysis of Functional NeuroImages) [32] and FSL (Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Oxford ...
doi:10.1371/journal.pone.0141151
pmid:26517262
pmcid:PMC4627821
fatcat:xcwiufvobfexvlalsccjlqka6e
« Previous
Showing results 1 — 15 out of 5,268 results