Personalized synthetic MR imaging with deep learning enhancements

Purpose Personalized synthetic MRI (syn‐MRI) uses MR images of an individual subject acquired at a few design parameters (echo time, repetition time, flip angle) to obtain underlying parametric (ρ,T1,T2)$$ \left(\rho, {\mathrm{T}}_1,{\mathrm{T}}_2\right) $$ maps, from where MR images of that individ...

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Bibliographic Details
Published in:	Magnetic resonance in medicine Vol. 89; no. 4; pp. 1634 - 1643
Main Authors:	Pal, Subrata, Dutta, Somak, Maitra, Ranjan
Format:	Journal Article
Language:	English
Published:	United States Wiley Subscription Services, Inc 01.04.2023 John Wiley and Sons Inc
Subjects:	Bloch transform Computer architecture Customization Deep Learning deep‐image‐prior denoising Design parameters Image acquisition Image enhancement Image Processing, Computer-Assisted - methods Inverse problems Low noise Magnetic resonance imaging Magnetic Resonance Imaging - methods Maximum likelihood estimators Neural networks Neural Networks, Computer Noise levels Noise reduction Nonuniformity Regularization Signal-To-Noise Ratio Software Synthesis synthetic MRI Technical Note Technical Note—Computer Processing and Modeling Training Workflow denoising deep-learning Bloch transform synthetic MRI deep-image-prior
ISSN:	0740-3194, 1522-2594, 1522-2594
Online Access:	Get full text
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