Abstract: A method for producing an image of a subject with a magnetic resonance imaging (MRI) system is provided. Image data is acquired at a sequence of multiple echo times occurring within two or more repetition times (TRs). Odd-numbered echoes are sampled during odd-numbered TRs, and even-numbered echoes are sampled during even-numbered TRs. Images are reconstructed and used to calculate the respective signal contributions of two or more chemical species using, for example, an IDEAL separation technique. The respective signal contributions are then used to produce images that depicts substantially only one of the chemical species. For example, separated water and fat images may be produced.

Abstract: A method for producing an image of a subject with a magnetic resonance imaging (MRI) system is provided. Image data is acquired at a sequence of multiple echo times occurring within two or more repetition times (TRs). Odd-numbered echoes are sampled during odd-numbered TRs, and even-numbered echoes are sampled during even-numbered TRs. Images are reconstructed and used to calculate the respective signal contributions of two or more chemical species using, for example, an IDEAL separation technique. The respective signal contributions are then used to produce images that depicts substantially only one of the chemical species. For example, separated water and fat images may be produced.

Abstract: A method for reconstructing an image from undersampled, parallel MRI data sets acquired with a pulse sequence that samples k-space along radial trajectories includes the synthesis of training k-space data from the acquired data. The training k-space data is produced by reconstructing training images from the fully sampled, central k-space region of the acquired MRI data sets, and the training k-space data is used in a radial GRAPPA image reconstruction method to produce an image frame.