Fast method for dynamic MR imaging

A method of image reconstruction for fast dynamic imaging using a generalized-series (GS) model comprising the steps of:

• a) acquiring data for at least one high resolution reference image, Ir({right arrow over (x)}),
• b) acquiring one or more dynamic k-space data sets, dq({right arrow over (k)}), for one or more image datasets, q, where 1≦q≦Q,
• c) determining an image weighting function w({right arrow over (x)}) based on the reference image(s),
• d) determining a contrast modulation function, C({right arrow over (x)}), for each data frame to absorb dynamic signal variations,
• e) multiplying the weighting function w({right arrow over (x)}) by the contrast modulation function, C({right arrow over (x)}), to obtain an initial estimate of the image for each time point,
• f) using the initial estimate obtained in step e) and phase information from the reference image(s) to estimate a full k-space data set,
• g) replacing estimated k-space data obtained in step e) with the acquired data in step b) at the k-space locations where dq({right arrow over (k)}) is acquired to achieve data consistency in a merged data set, and
• h) Fourier transforming the merged data set obtained in step g) to generate the desired image function.