Fast and scalable joint-LORAKS reconstruction and data-driven sampling optimisation of high-dimensional MRI datasets using a GPU-accelerated and learning-free differentiable framework: PyLORAKS

Magnetic resonance imaging (MRI) benefits significantly from parallel imaging and low-rank matrix completion approaches to reconstruct accelerated multidimensional acquisitions. As one such algorithm, low-rank matrix modelling of local k-space neighbourhoods (LORAKS) provides image reconstruction by...

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Hlavní autoři:	Jochen Schmidt, Patrick Scheibe, David Carreto Fidalgo, Andreas Marek, Robert Trampel, Nikolaus Weiskopf
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Organization for Human Brain Mapping 2026-02-01
Edice:	Aperture Neuro
On-line přístup:	https://doi.org/10.52294/001c.156499
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