Implementation of a fast gradient‐echo SVD encoding technique for dynamic imaging

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Abstract
In the paper, the results of a fast gradient‐echo implementation of the singular value decomposition (SVD) encoding technique for dynamic imaging are presented. The method used is an adaptation with several critical modifications of a keyhole‐type approach previously proposed but not implemented. The method was tested by imaging the events following injection of a contrast agent into a phantom, producing a series of dynamic image updates. It is demonstrated that, for this type of application, the SVD encoding technique adequately follows dynamic changes with even a small number of encodes. The result is comared qualitatively to that obtained by standard Fourier‐based keyhole imaging and is shown to provide improved spatial resolution of dynamic events when updating with the same number of encodes.
Funding Information
  • L.P.P.'s Whitaker Foundation Biomedical Engineering Research (NIH CA 45743-06, NIH P01CA67165-01)

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