DENOISING OF DYNAMIC RESONANCE SPECTROSCOPIC IMAGING USING LOW RANK APPROXIMATIONS IN THE KINETIC DOMAIN

Kinetic monitoring of in vivo metabolism of labelled tracers is based on singular value decomposition or Tucker Decomposition of magnetic resonance spectral image data. Data decomposition is used in conjunction with rank reduction to improve signal-to-noise ratio. Rank reduction can be applied in on...

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Bibliographic Details
Main Authors Brender, Jeffrey R, Merkle, Hellmut, Munasinghe, Jeeva P, Kishimoto, Shun, Mitchell, James B, Yamamoto, Kazutoshi, Cherukuri, Murali K
Format Patent
LanguageEnglish
Published 07.07.2022
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
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Summary:Kinetic monitoring of in vivo metabolism of labelled tracers is based on singular value decomposition or Tucker Decomposition of magnetic resonance spectral image data. Data decomposition is used in conjunction with rank reduction to improve signal-to-noise ratio. Rank reduction can be applied in one or more of a spectral, spatial, or temporal dimension. Rank is generally reduced based on a number of expected analytes/metabolites or fit of measured data to a model.
Bibliography:Application Number: US202217576283