Results 131 to 140 of about 260,393 (187)

Image Follow-Up After Flow Diverter Treatment Using Only Ultra-High Resolution CT Angiography with Model-Based Iterative Reconstruction: A Case Report. [PDF]

Yonago Acta Med
Iwata N, Sakamoto M, Sakou T, Uno T, Kurosaki M.   +4 more
europepmc   +1 more source

tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms. [PDF]

J Synchrotron Radiat
Kumar D, Parkinson DY, Donatelli JJ.
europepmc   +1 more source

Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction. [PDF]

Front Cardiovasc Med
Adam NL, Kowalik G, Tyler A, Mooiweer R, Neofytou AP, McElroy S, Kunze K, Speier P, Stäb D, Neji R, Nazir MS, Razavi R, Chiribiri A, Roujol S.   +13 more
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Iterative Reconstruction

2023
An improved iterative reconstruction method to reconstruct a first image includes generating an imaging beam, receiving said imaging beam on a detector array, generating projection data based on said imaging beams received by said detector array, providing said projection data to an image reconstructor, enlarging one of a plurality of voxels and a ...
De Man, Bruno Kristiaan Bernard, Bouman, Charles A., Thibault, Jean-Baptiste, Hsieh, Jiang, Zeng, Kai, Sauer, Ken D, Yu, Zhou   +6 more
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Iterative reconstruction algorithms

Computers in Biology and Medicine, 1976
Abstract In this paper a survey of recent results on iterative reconstruction algorithms is given. These results, many of which have not yet appeared elsewhere, are applicable to a very general formulation of the reconstruction problem based on the series expansion approach.
G T, Herman, A, Lent
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Adaptive iterative reconstruction

SPIE Proceedings, 2011
It is well known that, in CT reconstruction, Maximum A Posteriori (MAP) reconstruction based on a Poisson noise model can be well approximated by Penalized Weighted Least Square (PWLS) minimization based on a data dependent Gaussian noise model. We study minimization of the PWLS objective function using the Gradient Descent (GD) method, and show that ...
H. Bruder, R. Raupach, J. Sunnegardh, M. Sedlmair, K. Stierstorfer, T. Flohr   +5 more
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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, Philipp, Blanke, Jonathon, Leipsic   +2 more
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