A Deep Learning Approach to Upscaling “Low-Quality” MR Images: An In Silico Comparison Study Based on the UNet Framework

MR scans of low-gamma X-nuclei, low-concentration metabolites, or standard imaging at very low field entail a challenging tradeoff between resolution, signal-to-noise, and acquisition duration. Deep learning (DL) techniques, such as UNets, can potentially be used to improve such “low-quality” (LQ) i...

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Principais autores:	Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ioannis Seimenis, Constantinos Loukas, Ernst Leiss, Nikolaos V. Tsekos
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Applied Sciences
Assuntos:	upscaling MRI mixed effects model deep learning with-prior upscaling without-prior upscaling
Acesso em linha:	https://www.mdpi.com/2076-3417/12/22/11758
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