nufft operator (Genovis Inc)
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Genovis Inc
nufft operator
Nufft Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nufft+operator/OpeRATOR+Lyophilized/pm41218562-116-11-12
Average 93 stars, based on 92 article reviews
Nufft Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nufft+operator/OpeRATOR+Lyophilized/pm41218562-116-11-12
Average 93 stars, based on 92 article reviews
nufft operator - by Bioz Stars,
2026-09
93/100 stars
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Comparison:Article Title: Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation. Article Snippet: Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal resolutions due to slow data acquisition, particularly in free-breathing MRI scans where unpredictable motion complicates imaging.. Accelerated dynamic MRI techniques based on highly undersampled k-space data have emerged as a promising solution to enhance spatiotemporal resolution.. However, current supervised deep-learning reconstruction methods rely on fully-sampled training data and often struggle to generalize across diverse acquisition conditions. Magnetic Resonance Imaging:Article Title: Improved Spiral Projection MR Fingerprinting via Memory-Efficient Synergic Optimization of 3D Spiral Trajectory, Image Reconstruction and Parameter Estimation (SOTIP) Article Snippet: This work aims to improve scan efficiency and overcome computational challenges in high-resolution MR fingerprinting (MRF) with full 3D spiral trajectory by developing a computationally efficient model-based deep learning (MBDL) image reconstruction framework and a joint optimization framework of image reconstruction, quantitative parameter estimation and k-space sampling trajectory.. A parameter estimation loss was used to jointly optimize image reconstruction and parameter quantification networks.. Also, data-driven optimization of rotation angles of full 3D spiral trajectories through learning anatomy-specific spatiotemporal sparsity of the MRF data was performed jointly with image reconstruction network training. |
