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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