Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
Patterns, 2022 Summary: A recent PNAS paper reveals that several popular deep reconstruction networks are unstable. Specifically, three kinds of instabilities were reported: (1) strong image artefacts from tiny perturbations, (2) small features missed in a deeply ...
Weiwen Wu +9 more
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The Acceptability of Iterative Reconstruction Algorithms in Head CT: An Assessment of Sinogram Affirmed Iterative Reconstruction (SAFIRE) vs. Filtered Back Projection (FBP) Using Phantoms [PDF]
, 2017 Computed tomography (CT) is the primary imaging investigation for many neurologic conditions with a proportion of patients incurring cumulative doses.
Huckle, John +7 more
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Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm
IEEE Access, 2022 The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect the ...
Jun Li +4 more
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Two-Dimensional Iterative Source-Channel Decoding for Distributed Video Coding [PDF]
, 2014 Motivated by the Joint Source-Channel Decoding (JSCD) principle of exploiting the source redundancy, in this treatise we study the application of iterative source-channel decoding (ISCD) conceived for distributed video coding (DVC), where the video ...
Wang, Tao +3 more
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The Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting. [PDF]
PLoS ONE, 2015 To evaluate the effect of introduction of iterative reconstruction as a mandated software upgrade on radiation dosimetry in routine clinical practice over a range of computed tomography examinations.Random samples of scanning data were extracted from a ...
Rachael E Moorin +3 more
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Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency
Shanghai Jiaotong Daxue xuebao, 2023 To improve the reconstruction speed of parallel magnetic resonance imaging, an efficient reconstruction method named fSIDWT-SPIRiT is proposed based on shift-invariant discrete wavelets transform (SIDWT) and the iterative self-consistent parallel imaging
DUAN Jizhong, QIAN Qingqing
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Approximate Message Passing Algorithm for Nonconvex Regularization
IEEE Access, 2019 In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang +4 more
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Low-dose CT Reconstruction Algorithm Based on Iterative Asymmetric Blind Spot Network [PDF]
Jisuanji kexue, 2023 Aiming at the problem that the method of low-dose CT reconstruction by machine learning method relies too much on pairwise legends,a low-dose CT reconstruction algorithm based on iterative asymmetric blind spot network is proposed.Firstly,low-dose CT is ...
GUO Guangxing, YIN Guimei, LIU Chenxu, DUAN Yonghong, QIANG Yan, WANG Yanfei, WANG Tao
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Quality evaluation of image‐based iterative reconstruction for CT: Comparison with hybrid iterative reconstruction [PDF]
Journal of Applied Clinical Medical Physics, 2019 AbstractThe purpose of this study is to evaluate the physical image quality of a commercially available image‐based iterative reconstruction (IIR) system for two object contrasts to resemble a soft tissue (60 HU) and an enhanced vessel (270 HU), and compare the results with those of filtered back projection (FBP) and iterative reconstruction (IR).
Kawashima, Hiroki +5 more
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Iterative reconstruction in CT imaging; Image quality and radiation doses
, 2020 Improved image quality in CT imaging using iterative reconstruction algorithms Image quality in CT imaging of liver and chest using different iterative reconstruction algorithms, behaved differently depending on dose level, anatomical region and ...
Jensen, Kristin
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