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Learned Iterative Reconstruction
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2021J. Adler
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Iterative reconstruction algorithms [PDF]
, 2020 Daniele Panetta, Niccolò Camarlinghi
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AJR. American journal of roentgenology, 2020
OBJECTIVE. The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT.
Ramandeep Singh +10 more
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OBJECTIVE. The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT.
Ramandeep Singh +10 more
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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 +6 more
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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 +6 more
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IEEE Transactions on Instrumentation and Measurement, 2021
Electrical resistance tomography (ERT) is an efficient technology for rapid, accurate, and real-time monitoring of the dynamic of industrial process.
Feng Li, F. Dong, C. Tan
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Electrical resistance tomography (ERT) is an efficient technology for rapid, accurate, and real-time monitoring of the dynamic of industrial process.
Feng Li, F. Dong, C. Tan
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Medical Physics (Lancaster), 2020
PURPOSE Sparse-data CT frequently occurs, such as breast tomosynthesis, C-arm CT, on-board 4D CBCT, and industrial CT. However, sparse-data image reconstruction remains challenging due to highly undersampled data.
Gaoyu Chen +11 more
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PURPOSE Sparse-data CT frequently occurs, such as breast tomosynthesis, C-arm CT, on-board 4D CBCT, and industrial CT. However, sparse-data image reconstruction remains challenging due to highly undersampled data.
Gaoyu Chen +11 more
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Iterative reconstruction algorithms
Computers in Biology and Medicine, 1976Abstract 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.
Arnold Lent +3 more
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Adaptive iterative reconstruction
SPIE Proceedings, 2011It 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 ...
Karl Stierstorfer +5 more
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State of the Art in Abdominal CT: The Limits of Iterative Reconstruction Algorithms.
Radiology, 2019The development and widespread adoption of iterative reconstruction (IR) algorithms for CT have greatly facilitated the contemporary practice of radiation dose reduction during abdominal CT examinations.
A. Mileto +4 more
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Iterative reconstruction in cardiac CT
Journal of Cardiovascular Computed Tomography, 2015Iterative 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 ...
Jonathon Leipsic +2 more
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