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Abstract #3720

Partial Fourier Homodyne Reconstruction with Non-iterative, Integrated Gradient Nonlinearity Correction

Shengzhen Tao 1 , Joshua D Trzasko 1 , Paul T Weavers 1 , Yunhong Shu 1 , John Huston III 1 , and Matt A Bernstein 1

1 Radiology, Mayo Clinic, Rochester, MN, United States

Partial Fourier homodyne reconstruction is a widely used method to reduce the amount of data required to form an image in MRI by up to 50%. Recently, a non-iterative MR image reconstruction method with integrated gradient nonlinearity (GNL) correction was proposed. The method was shown to be able to mitigate the image blurring and resolution loss introduced by conventional, image-domain interpolation based GNL correction, while still correcting the GNL-induced image geometrical distortion. In this work, we discuss the addition of partial Fourier acquisition to this integrated reconstruction paradigm to allow for similar maintenance of spatial resolution while reducing acquisition time.

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