Articles with "parameters undersampled" as a keyword



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VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16081

Abstract: PURPOSE To propose a robust time and space invariant deep learning method to directly estimate the pharmacokinetic/tracer kinetic (PK/TK) parameters from undersampled dynamic contrast-enhanced (DCE) Magnetic Resonance Imaging (MRI) data. METHODS DCE-MRI consists of 4D (3D-spatial… read more here.

Keywords: time; invariant deep; parameters undersampled; vtdce net ... See more keywords