Abstract: A method for reconstructing non-uniformly sampled data to create an image includes: receiving a new partial data set, the new partial data set including a vector of non-uniformly sampled data at k-space positions; subtracting an old partial data set at the same k-space positions from the new partial data set to create a difference vector; gridding the difference vector to create a difference matrix; adding the difference matrix to a frame of previously gridded data to create a new frame; and transforming the new frame to create the image. In one embodiment, gridding includes constructing a gridding table for a data point in a complete data set, and convolving a data point in the difference vector with the gridding table. In another embodiment at least one of a grid size and a first parameter of the window function is optimized using input parameters for at least one of aliasing energy and computation time.

Abstract: A system and method are disclosed using incremental table motion and partial data acquisition for increased volume coverage to reconstruct MR images across a large FOV without significant slab-boundary artifacts. At each table position, full z-encoding data are acquired for a subset of the kx-ky data. The table is stepped through a number of positions over the desired FOV and MR data are acquired over the plurality of table increments. Since full z-data are acquired for each slab, the data can be Fourier transformed in z, sorted, and then aligned to match anatomic z locations. The fully sampled and aligned data is then Fourier transformed in x and y to reconstruct the final image that is free of slab-boundary artifacts.

Abstract: A method for reconstructing non-uniformly sampled data to create an image includes: receiving a new partial data set, the new partial data set including a vector of non-uniformly sampled data at k-space positions; subtracting an old partial data set at the same k-space positions from the new partial data set to create a difference vector; gridding the difference vector to create a difference matrix; adding the difference matrix to a frame of previously gridded data to create a new frame; and transforming the new frame to create the image. In one embodiment, gridding includes constructing a gridding table for a data point in a complete data set, and convolving a data point in the difference vector with the gridding table. In another embodiment at least one of a grid size and a first parameter of the window function is optimized using input parameters for at least one of aliasing energy and computation time.

Abstract: A system and method are disclosed using incremental table motion and partial data acquisition for increased volume coverage to reconstruct MR images across a large FOV without significant slab-boundary artifacts. At each table position, full z-encoding data are acquired for a subset of the kx −ky data. The table is stepped through a number of positions over the desired FOV and MR data are acquired over the plurality of table increments. Since full z-data are acquired for each slab, the data can be Fourier transformed in z, sorted, and then aligned to match anatomic z locations. The fully sampled and aligned data is then Fourier transformed in x and y to reconstruct the final image that is free of slab-boundary artifacts.