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Abstract #3831

Highly Accelerated Projection Imaging (HAPI) with Coil Sensitivity Encoding

Ali Ersoz1, Volkan Emre Arpinar2, L. Tugan Muftuler2, 3

1Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States; 2Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; 3Center for Imaging Research, Medical College of Wisconsin, Milwaukee, WI, United States

We developed a new technique, named Highly Accelerated Projection Imaging (HAPI) with coil sensitivity encoding, which is capable of reconstructing a 2D image using fewer projections than the previous reports. The essence of this new technique is to sample each spoke more densely than the conventional scheme. The feasibility of this new technique was investigated with realistic simulations and experimental phantom studies. Simulation results show that 1-2 projections might be sufficient to reconstruct a 2D image. Experimental results demonstrated that HAPI is a promising new technique for fast imaging.

Keywords

accelerate accelerated according accurate achieve acquisition adjacent amount approaches array artifacts assuming attention audience bottom calculating capable captured clear clearly closer coil college comes commonly complex condition constraints converge correctly cover critical cylindrical degrees dense densely dependence details determined developed dimensional distribution dominant edges eigenvalue eigenvalues encode encoding environment equation equations error errors excite expense experimental fast fewer filtering fine formation formed formulated future good hence highly identify illustrates implemented improve improving inverse knoll matrix measured medical might modified named negligible neurosurgery noise nonuniform normalized noted novel object parallel passes performance phantom plots precisely previous previously probably problem produced profiles projection projections promising propagate propeller proposed providing pulse quality radial rapid rays readout reconstruct reconstructed reconstructing reconstruction reduce reduced regularization samples sampling schemes sensitivities sensitivity sharp simulated simulation simulations since slice solved sources space span studies substantially suffer sufficient sufficiently superior system systematic target theorem transform turned utilizing variation various verified