Výsledky vyhľadávania - "Computer Processing and Modeling"

Cross‐site harmonization of diffusion MRI data without matched training subjects Autor De Luca, Alberto, Swartenbroekx, Tine, Seelaar, Harro, van Swieten, John, Cetin Karayumak, Suheyla, Rathi, Yogesh, Pasternak, Ofer, Jiskoot, Lize, Leemans, Alexander

“…Purpose Diffusion MRI (dMRI) data typically suffer of significant cross‐site variability, which prevents naively performing pooled analyses. To attenuate…”
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A deep learning method for image‐based subject‐specific local SAR assessment Autor Meliadò, E.F., Raaijmakers, A.J.E, Sbrizzi, A., Steensma, B.R., Maspero, M., Savenije, M.H.F., Luijten, P.R., Berg, C.A.T.

“…–based method for image‐based subject‐specific local SAR assessment. We propose to train a convolutional neural network to learn a “surrogate SAR model…”
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Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels Autor Florkow, Mateusz C., Zijlstra, Frank, Willemsen, Koen, Maspero, Matteo, Berg, Cornelis A. T., Kerkmeijer, Linda G. W., Castelein, René M., Weinans, Harrie, Viergever, Max A., Stralen, Marijn, Seevinck, Peter R.

“…Purpose To study the influence of gradient echo–based contrasts as input channels to a 3D patch‐based neural network trained for synthetic CT (sCT) generation…”
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Effect of subject‐specific head morphometry on specific absorption rate estimates in parallel‐transmit MRI at 7 T Autor Jeong, Hongbae, Andersson, Jesper, Hess, Aaron, Jezzard, Peter

“…Purpose To assess the accuracy of morphing an established reference electromagnetic head model to a subject…”
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Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset Autor Brink, Wyger M., Yousefi, Sahar, Bhatnagar, Prernna, Remis, Rob F., Staring, Marius, Webb, Andrew G.

“… In this work, we present a method to generate a subject‐specific body model from a single T1…”
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Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients Autor Kaandorp, Misha P. T., Barbieri, Sebastiano, Klaassen, Remy, Laarhoven, Hanneke W. M., Crezee, Hans, While, Peter T., Nederveen, Aart J., Gurney‐Champion, Oliver J.

“…Purpose Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art…”
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KomaMRI.jl: An open‐source framework for general MRI simulations with GPU acceleration Autor Castillo‐Passi, Carlos, Coronado, Ronal, Varela‐Mattatall, Gabriel, Alberola‐López, Carlos, Botnar, René, Irarrazaval, Pablo

“…Click here for author‐reader discussions…”
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Placenta microstructure and microcirculation imaging with diffusion MRI Autor Slator, Paddy J., Hutter, Jana, McCabe, Laura, Gomes, Ana Dos Santos, Price, Anthony N., Panagiotaki, Eleftheria, Rutherford, Mary A., Hajnal, Joseph V., Alexander, Daniel C.

“… Methods The placentas of nine healthy pregnant subjects were scanned with a multishell, multidirectional diffusion protocol at 3T…”
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Groupwise image registration with edge‐based loss for low‐SNR cardiac MRI Autor Lei, Xuan, Schniter, Philip, Chen, Chong, Ahmad, Rizwan

“…) images from the MR extended cardiac‐torso (MRXCAT) phantom and free‐breathing single‐shot LGE images from healthy subjects (24 slices) and patients (5 slices…”
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Improved liver fat and R2 quantification at 0.55 T using locally low‐rank denoising Autor Shu‐Fu Shih, Tasdelen, Bilal, Yagiz, Ecrin, Zhang, Zhaohuan, Zhong, Xiaodong, Cui, Sophia X, Nayak, Krishna S, Wu, Holden H

“…) across scan repetitions. We performed in vivo liver scans (11 subjects) and used regions of interest to compare means and SDs of PDFF and R2*$$ {R}_2^{\ast } $$ measurements. Kruskal…”
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Conditional safety margins for less conservative peak local SAR assessment: A probabilistic approach Autor Meliadò, Ettore Flavio, Sbrizzi, Alessandro, van den Berg, Cornelis A. T., Steensma, Bart R., Luijten, Peter R., Raaijmakers, Alexander J. E.

“… A representative set of true and estimated pSAR10g samples was generated by means of our database of 23 subject…”
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A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners Autor Rudrapatna, Umesh, Parker, Greg D., Roberts, Jamie, Jones, Derek K.

“… Furthermore, both pipelines neglect the impact of subject motion during acquisition, which, in the presence of gradient nonlinearities, induces spatio‐temporal B‐matrix variations. Here, spatio‐temporal B‐matrix tracking (STB…”
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TagGen: Diffusion‐based generative model for cardiac MR tagging super resolution Autor Sun, Changyu, Thornburgh, Cody, Wang, Yu, Kumar, Senthil, Altes, Talissa A.

“…Purpose The aim of the work is to develop a cascaded diffusion‐based super‐resolution model for low‐resolution (LR) MR tagging acquisitions, which is…”
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CEST MRI data analysis using Kolmogorov‐Arnold network (KAN) and Lorentzian‐KAN (LKAN) models Autor Wang, Jiawen, Cai, Pei, Wang, Ziyan, Zhang, Huabin, Huang, Jianpan

“… T were used in this study. Data from 25 subjects were used for training and validation (548 865 Z‐spectra), whereas the remaining two were reserved for testing…”
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A ranking of diffusion MRI compartment models with in vivo human brain data Autor Ferizi, Uran, Schneider, Torben, Panagiotaki, Eleftheria, Nedjati-Gilani, Gemma, Zhang, Hui, Wheeler-Kingshott, Claudia A. M., Alexander, Daniel C.

“…‐value data sets from fixed rat corpus callosum. We extend this investigation to in vivo by using a live human subject on a clinical scanner…”
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Separation of water and fat signal in whole‐body gradient echo scans using convolutional neural networks Autor Andersson, Jonathan, Ahlström, Håkan, Kullberg, Joel

“…‐body gradient echo scans of 240 subjects, each consisting of 5 bipolar echoes, were used…”
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Real‐time cardiac cine MRI: A comparison of a diffusion probabilistic model with alternative state‐of‐the‐art image reconstruction techniques for undersampled spiral acquisitions Autor Schad, Oliver, Heidenreich, Julius Frederik, Petri, Nils, Kleineisel, Jonas, Sauer, Simon, Bley, Thorsten Alexander, Nordbeck, Peter, Petritsch, Bernhard, Wech, Tobias

“…Purpose Electrocardiogram (ECG)‐gated cine imaging in breath‐hold enables high‐quality diagnostics in most patients but can be compromised by arrhythmia and…”
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Personalized synthetic MR imaging with deep learning enhancements Autor Pal, Subrata, Dutta, Somak, Maitra, Ranjan

“…Purpose Personalized synthetic MRI (syn‐MRI) uses MR images of an individual subject acquired at a few design parameters…”
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Efficient estimation of propagator anisotropy and non‐Gaussianity in multishell diffusion MRI with micro‐structure adaptive convolution kernels and dual Fourier integral transforms Autor París, Guillem, Pieciak, Tomasz, Aja‐Fernández, Santiago, Tristán‐Vega, Antonio

“…‐retest study across the MICRA dataset (6 subjects scanned five times) and, finally, a computational…”
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A new analysis approach for T2 relaxometry myelin water quantification: Orthogonal Matching Pursuit Autor Drenthen, Gerhard S., Backes, Walter H., Aldenkamp, Albert P., Op ’t Veld, Giel J., Jansen, Jacobus F. A.

“…Purpose In vivo myelin quantification can provide valuable noninvasive information on neuronal maturation and development, as well as insights into…”
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