System for Accelerating Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model

An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.

Researchers

Vivek Goyal / Lawrence Wald / Daniel Weller / Leo Grady

Departments: Health Sciences and Technology Program
Technology Areas: Biotechnology: Sensors & Monitoring / Sensing & Imaging: Imaging
Impact Areas: Healthy Living

  • system for accelerated magnetic resonance imaging using parallel coils
    United States of America | Granted | 9,594,141

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