Iterative Reconstruction from Few-view Projections
Procedia Computer Science, 2015 [EN] In the medical imaging field, iterative methods have become a hot topic of research due to their capacity to resolve the reconstruction problem from a limited number of projections. This gives a good possibility to reduce radiation exposure on patients during the data acquisition.
Flores, Liubov +2 more
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Informed Source Separation Using Iterative Reconstruction [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2013 This paper presents a technique for Informed Source Separation (ISS) of a single channel mixture, based on the Multiple Input Spectrogram Inversion method. The reconstruction of the source signals is iterative, alternating between a time- frequency consistency enforcement and a re-mixing constraint.
Sturmel, Nicolas, Daudet, Laurent
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3D reconstruction study of motion blur non-coded targets based on the iterative relaxation method
Open Computer ScienceAchieving high-quality three-dimensional (3D) reconstruction has been a challenging problem due to factors such as motion blur. In this article, we first construct a mathematical model of an iterative relaxation method in reconstructing images, including
Yun Shi, Rongna Chen, Yanyan Zhu
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Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case
Visual Computing for Industry, Biomedicine, and Art, 2019 In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise.
Gengsheng L. Zeng, Ya Li, Qiu Huang
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Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms
Visual Computing for Industry, Biomedicine, and Art, 2019 We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms.
Gengsheng L. Zeng, Ya Li
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Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors
Visual Computing for Industry, Biomedicine, and Art, 2020 The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints.
Gengsheng L. Zeng, Edward V. DiBella
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Mathematics, 2022 Iterative image reconstruction algorithms have considerable advantages over transform methods for computed tomography, but they each have their own drawbacks.
Omar M. Abou Al-Ola +4 more
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Recent Advances in Thoracic X-Ray Computed Tomography for Pulmonary Imaging
Canadian Respiratory Journal, 2014 The present article reviews recent advances in pulmonary computed tomography (CT) imaging, focusing on the application of dual-energy CT and the use of iterative reconstruction.
Bruce J Precious +2 more
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Reduction of metal artifact in single photon-counting computed tomography by spectral-driven iterative reconstruction technique. [PDF]
PLoS ONE, 2015 The exciting prospect of Spectral CT (SCT) using photon-counting detectors (PCD) will lead to new techniques in computed tomography (CT) that take advantage of the additional spectral information provided.
Radin A Nasirudin +7 more
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An Iterative Procedure for Combining the Advantages of a Multi-Frequency and Multi-Resolution Inversion Algorithm [PDF]
, 2011 Starting from the iterative multi ]scaling approach previously studied for monochromatic illuminations, two multi ]resolution strategies for dealing with multi ]frequency inverse scattering experiments have been developed. The first procedure is based on
Donelli, Massimo +3 more
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