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Super-resolution reconstruction algorithms have been extensively studied for the last years. However, despite the progress made in this field, many issues remain to be solved. Some of them are basically omitted and their importance is trivialized. Routinely, for instance, researchers are willing to make the relative motion model simpler than it should be considered. The commonly applied non-rigid...
The MRI reconstruction based on super-resolution back-projection algorithm is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when PROPELLER sequences are used. The PROPELLER MRI method collects data in rectangular strips rotated around the origin of the k-space. Inter-strip patient motion is the premise for the use of super-resolution technique. Images...
Magnetic Resonance Imaging (MRI) image reconstruction based on a frequency domain Super-Resolution (SR) algorithm, is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) sequences are used. The PROPELLER MRI method collects data in rectangular ‘blades’ rotated around...
In the paper frequency domain Super-Resolution algorithm with enhanced reconstruction stage is presented. The Fourier transform properties of relocated images are used to easy estimation of rotation and translation, as well as artifacts caused by subsampling. Previously, the bicubic interpolation has been employed in the reconstruction phase, in this paper it is replaced by iterative conjugate-gradient...
Thermal Imaging can be really valuable to military, other users of surveillance camera and physicians. Contrary to the usual sampling process where weavers want to sample at the Nyquist rate the Compressive Sensing provides a stricter sampling condition when the signal is known to be sparse or compressible. It turned out that the Nyquist-Shannon theorem is a sufficient condition but not a necessary...
Magnetic Resonance Imaging (MRI) reconstruction algorithm using semi-PROPELLER compressed sensing is presented in this paper. It is exhibited that introduced algorithm for estimating data shifts is feasible when super-resolution is applied. The offered approach utilizes MRI PROPELLER sequences and improves MR images spatial resolution in circumstances when highly undersampled k-space trajectories...
Magnetic Resonance Imaging (MRI) super-resolution image reconstruction algorithm, is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases Compressed Sensing (CS) sequences are used. Compressed sensing (CS) aims at signal and images reconstructing from significantly fewer measurements than were traditionally thought necessary. Magnetic Resonance Imaging (MRI)...
PET is a scanning procedure in medical imaging based research. It provides measurements of functioning in distinct areas of the human brain while the patient is comfortable, conscious and alert. This work presents new compression sensing based super-resolution algorithm for improving the resolution in clinical positron emission tomography (PET) scanners. The problem of motion artifacts is well known...
In this paper a super-resolution technique especially optimized for enhancing low-resolution text images from handheld devices is presented. Considered here, the most naturally, projective motion model has eliminated some drawbacks of previously presented SR schemes. Modification of initial guess estimation idea has resulted in accuracy improvement and convergence speed up. We also applied a quadratic...
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