3/14/2024 0 Comments Cine tracer license key free![]() Results show that higher acceleration factors with improved image quality can be obtained with the proposed approach in comparison to the existing state-of-the-art method. The proposed approach was tested in simulated and cardiac cine MRI data. Finally, we have used nonuniform fast Fourier transform (NUFFT) algorithm to reconstruct the image from the non-uniformly acquired samples. In order to reduce incoherent aliasing artifact, we use different random undersampling pattern for each temporal frame. For efficient coverage of k-space, we have used a modified version of multi shot (interleaved) spirals trajectories. We have exploited spatiotemporal sparsity of cardiac cine MRI by applying a 2D + time wavelet-Fourier transform. ![]() We extend k-t sparse algorithm to spiral trajectories to achieve high spatio temporal resolutions in cardiac cine imaging. The purpose of this paper is to improve CS reconstruction of under sampled data by exploiting spatiotemporal sparsity and efficient spiral trajectories. Compressed sensing (CS) theory has been applied to improve the imaging speed and thus the spatiotemporal resolution. In dynamic cardiac cine Magnetic Resonance Imaging ( MRI), the spatiotemporal resolution is limited by the low imaging speed. Tolouee, Azar Alirezaie, Javad Babyn, Paul Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories ![]()
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