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Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction

Sebastian Schaetz, Dirk Voit, Jens Frahm, Martin Uecker
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  ...  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

Weiran Deng, Cungeng Yang, V. Andrew Stenger
2010 Magnetic Resonance in Medicine  
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]

Xiaoqing Wang, Zhengguo Tan, Nick Scholand, Volkert Roeloffs, Martin Uecker
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

Advances in deep learning for real-time image and video reconstruction and processing

Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang
2020 Journal of Real-Time Image Processing  
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

Jens Frahm, Dirk Voit, Martin Uecker
2019 Investigative Radiology  
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

Dirk Voit, Oleksandr Kalentev, Jens Frahm
2019 Quantitative Imaging in Medicine and Surgery  
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

Thimo Hugger, Benjamin Zahneisen, Pierre LeVan, Kuan Jin Lee, Hsu-Lei Lee, Maxim Zaitsev, Jürgen Hennig, Gerardo Adesso
2011 PLoS ONE  
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

Xiaoqing Wang, Martin Uecker, Li Feng
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  ...  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

Shuo Zhang, Arun A Joseph, Dirk Voit, Sebastian Schaetz, Klaus-Dietmar Merboldt, Christina Unterberg-Buchwald, Anja Hennemuth, Joachim Lotz, Jens Frahm
2014 Quantitative Imaging in Medicine and Surgery  
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]

Byung Gyu Chae
2017 arXiv   pre-print
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  
., +, 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

Jan M Sohns, Johannes T Kowallick, Arun A Joseph, K Dietmar Merboldt, Dirk Voit, Martin Fasshauer, Wieland Staab, Jens Frahm, Joachim Lotz, Christina Unterberg-Buchwald
2015 Quantitative Imaging in Medicine and Surgery  
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

Daniel S. Weller, Michael Salerno, Craig H. Meyer
2018 Magnetic Resonance Imaging  
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

Florian Knoll, Christian Clason, Kristian Bredies, Martin Uecker, Rudolf Stollberger
2011 Magnetic Resonance in Medicine  
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

Andrew M. Huettner, Nikolai J. Mickevicius, Ali Ersoz, Kevin M. Koch, L. Tugan Muftuler, Andrew S. Nencka, Jesus Malo
2015 PLoS ONE  
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
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