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Projection Space Iteration Reconstruction-Reprojection

IEEE Transactions on Medical Imaging, 1985
Recently, an iterative reconstruction-reprojection (IRR) algorithm has been suggested for application to limited view computed tomography (CT). In the IRR, the interpolation operation is performed in the object space during backprojection-reprojection. The errors associated with the interpolation degrade the reconstructed image and may cause divergence
J H, Kim, K Y, Kwak, S B, Park, Z H, Cho
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Iterative reconstruction in cardiac CT

Journal of Cardiovascular Computed Tomography, 2015
Iterative reconstruction (IR) has the ability to reduce image noise in CT without compromising diagnostic quality, which permits a significant reduction in effective radiation dose. This been increasingly integrated into clinical CT practice over the past 7 years and has been particularly important in the field of cardiac CT with multiple vendors ...
Christopher, Naoum   +2 more
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Renovascular CT: comparison between adaptive statistical iterative reconstruction and model-based iterative reconstruction

Clinical Radiology, 2017
To compare contrast enhancement and image quality between renovascular computed tomography (CT) images with adaptive statistical iterative reconstruction (ASiR) and that with model-based iterative reconstruction (MBIR).This retrospective study was approved by the institutional review board and written informed consent was waived.
Y, Noda   +7 more
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Multi-scale iterative reconstruction

2011 IEEE Nuclear Science Symposium Conference Record, 2011
Zoomed ROI reconstruction is a natural challenge for iterative reconstruction (IR), since the reprojection step requires knowledge of the entire object attenuating the x-ray beam. In contrast, analytic FBP can reconstruct images within the zoomed ROI without the need of the full FOV reconstruction, provided projection data is not truncated. To overcome
Alexander A. Zamyatin   +2 more
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Iterative reconstruction algorithms in compressed sensing

2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers, 2011
In this paper we give an overview of current results in iterative reconstruction of sparse signals using parity check matrices of low-density parity check (LDPC) codes as measurement matrices in compressed sensing. We provide a detailed explanation of two iterative reconstruction algorithms, Interval Passing (IP) algorithm and verification algorithm ...
Danjean, Ludovic   +3 more
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Iterative reconstruction algorithms in nuclear medicine

Computerized Medical Imaging and Graphics, 2001
Iterative reconstruction algorithms produce accurate images without streak artifacts as in filtered backprojection. They allow improved incorporation of important corrections for image degrading effects, such as attenuation, scatter and depth-dependent resolution.
S, Vandenberghe   +8 more
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Iterative image reconstruction using prior knowledge

Journal of the Optical Society of America A, 2006
A method is proposed to reconstruct signals from incomplete data. The method, which can be interpreted both as a discrete implementation of the so-called prior discrete Fourier transform (PDFT) spectral estimation technique and as a variant of the algebraic reconstruction technique, allows one to incorporate prior information about the reconstructed ...
Hsin M, Shieh   +3 more
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Iterative Image Reconstruction Techniques

Journal of Thoracic Imaging, 2014
Iterative image reconstruction algorithms provide significant improvements over traditional filtered back projection in computed tomography (CT). Clinically available through recent advances in modern CT technology, iterative reconstruction enhances image quality through cyclical image calculation, suppressing image noise and artifacts, particularly ...
Young Jun, Cho   +7 more
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Iterative reconstruction algorithm for optoacoustic imaging

The Journal of the Acoustical Society of America, 2002
Optoacoustic imaging is based on the generation of thermoelastic stress waves by heating an object in an optically heterogeneous medium with a short laser pulse. The stress waves contain information about the distribution of structures with preferential optical absorption.
G, Paltauf   +3 more
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Iterative CBCT reconstruction using Hessian penalty

Physics in Medicine and Biology, 2015
Statistical iterative reconstruction algorithms have shown potential to improve cone-beam CT (CBCT) image quality. Most iterative reconstruction algorithms utilize prior knowledge as a penalty term in the objective function. The penalty term greatly affects the performance of a reconstruction algorithm. The total variation (TV) penalty has demonstrated
Tao, Sun   +3 more
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