SYSTEM AND METHOD FOR DENOISING IN MAGNETIC RESONANCE IMAGING

Denoising of magnetic resonance (MR) images can be achieved using a deep neural network and an image acquisition process that uses multi-NEX (Number of Excitations) or multi-NSA (Number of Signal Averages or Acquisitions) to produce two or more complex-valued images of a region of interest. The set...

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Bibliographic Details
Main Authors CHEN, Weitian, ZHAO, Shutian
Format Patent
LanguageEnglish
Published 26.10.2023
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:Denoising of magnetic resonance (MR) images can be achieved using a deep neural network and an image acquisition process that uses multi-NEX (Number of Excitations) or multi-NSA (Number of Signal Averages or Acquisitions) to produce two or more complex-valued images of a region of interest. The set of images resulting from the image acquisition process can be input to a deep neural network that has been trained to produce a denoised MR image from a set of multi-NEX or multi-NSA images. The deep neural network can be implemented using a two-dimensional or three-dimensional convolutional neural network to match the dimensionality of the input images. Training of the denoising neural network can use real MR images.
Bibliography:Application Number: US202318128193