Reconstructions of undersampled k-space phantom measurements for varying undersampling factors, R.

Reconstructions of undersampled k-space phantom measurements for varying undersampling factors, R.

<p>All images were windowed between 0 and the 99th percentile of the image intensity. ML = machine learning, NUFFT = non-uniform fast Fourier transform.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Johanna Topalis (22633911) (author)
مؤلفون آخرون:	Jakob Dexl (22633914) (author), Katharina Jeblick (22633917) (author), Rabea Klaar (15281581) (author), Christopher Kurz (815721) (author), Timo Löhr (22633920) (author), Andreas Mittermeier (22633923) (author), Balthasar Schachtner (22633926) (author), Anna Theresa Stüber (22633929) (author), Tobias Weber (6330914) (author), Philipp Wesp (22633932) (author), Jens Ricke (74030) (author), Max Seidensticker (659591) (author), Guillaume Landry (815668) (author), Michael Ingrisch (465023) (author), Olaf Dietrich (629688) (author)
منشور في:	2025
الموضوعات:	Cell Biology Biotechnology Immunology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified mean squared error high temporal resolution time magnetic resonance tesla mri system linac dynamic measurements radially undersampled k mse distributions overlapped iterative nufft techniques median reconstruction time fast image reconstruction real mri data interpolate radial k iterative nufft reconstruction image ml model reconstruction time image reconstruction radial k iterative zero latency real image quality reconstruction times synthetic data phantom data tesla mr mr measurements xlink "> undersampling factors three volunteers reconstructing 0 r </ natural images ml model ml approach machine learning interquartile ranges imaging applications ideally suited ground truth diagnostic 1 conventional approach compressed sensing combined images cartesian grid
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