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The CT scan medical imaging requires huge amount of computations for reconstructing the images. Modified Fast Radon Transform (MFRT) uses FFT based parallel algorithm for reconstruction of 2D/3D CT images from its sonogram data using convolution operation by concurrent 1D FFT/IFFT and matrix multiplications. To achieve optimum hardware utilization with low power consumption an FFT module, based on...
We address the problem of video super resolution - obtaining a single high-resolution video whose spatial and temporal resolutions are higher than any of the input low-resolution videos. We employ a reconstruction based approach using MRF -MAP formalism, and use approximate optimization using graph cuts to carry out the reconstruction. We show that in our formulation it is possible to selectively...
Susceptibility-weighted magnetic resonance imaging is a powerful tool for high resolution imaging of the vasculature, aiding in the diagnosis of many pathologic conditions. The technique is especially beneficial at higher field strengths where traditional sequences that measure cerebral blood volume suffer from severe distortions, rendering them inapplicable at 7 T. However, conventional susceptibility-weighted...
Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for diagnosis of many pathologic conditions. However conventional MRSI involves long scan times, in the order of 20 minutes. This work simulated an autocalibrating parallel technique based on GRAPPA algorithm for accelerating MRSI and applied it to 3 dimensional (3D) MRSI of the brain at 3 Tesla. Employing two fold undersampling in...
We suggest a feature based facial image reconstruction technique. The encoding technique utilizes the affine structure of the face to capture the global facial motion. The structure information is transmitted only once at the bootstrapping stage. After that only the motion information for each frame is used to reconstruct the image at the decoder. An attempt is made to perform local reconstruction...
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