Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images
This study aims to use the self-developing irregular flux viewer (IFV) system to predict possible bone lesions in planar WBBS. The study uses gradient vector flow (GVF) and self-organizing map (SOM) methods to analyze the blood fluid-dynamics and evaluate hot points. The evaluation includes a selection of 368 patients with bone metastasis from prostate cancer, lung cancer and breast cancer. Finally, we compare IFV values with BONENAVI version data. BONENAVI is a computer-assisted diagnosis system that analyzes bone scintigraphy automatically. The analysis shows that the IFV system achieves sensitivities of 93% for prostate...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Chang-Ching Yu Chien-Yi Ting Ming-Hui Yang Hung-Pin Chan Source Type: research

Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images
This study includes 190 study subjects (97 AIS and 93 Non-AIS) by collecting both DWI and Apparent Diffusion Coefficient (ADC) images. 3D DWI brain images are split into left and right hemispheres and input into two paths. A map with 125×253×14×12 features is extracted by each path of Inception Modules. After the features computed from two paths are subtracted through L-2 normalization, four multi-scale convolution layers produce the final predation. Three comparative models using DWI images including MedicalNet with transfer learning, Simple DeepSym-3D-CNN (each 3D Inception Module is replaced by a simpl...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Liyuan Cui Shanhua Han Shouliang Qi Yang Duan Yan Kang Yu Luo Source Type: research

Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images
This study aims to use the self-developing irregular flux viewer (IFV) system to predict possible bone lesions in planar WBBS. The study uses gradient vector flow (GVF) and self-organizing map (SOM) methods to analyze the blood fluid-dynamics and evaluate hot points. The evaluation includes a selection of 368 patients with bone metastasis from prostate cancer, lung cancer and breast cancer. Finally, we compare IFV values with BONENAVI version data. BONENAVI is a computer-assisted diagnosis system that analyzes bone scintigraphy automatically. The analysis shows that the IFV system achieves sensitivities of 93% for prostate...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Chang-Ching Yu Chien-Yi Ting Ming-Hui Yang Hung-Pin Chan Source Type: research

Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images
This study includes 190 study subjects (97 AIS and 93 Non-AIS) by collecting both DWI and Apparent Diffusion Coefficient (ADC) images. 3D DWI brain images are split into left and right hemispheres and input into two paths. A map with 125×253×14×12 features is extracted by each path of Inception Modules. After the features computed from two paths are subtracted through L-2 normalization, four multi-scale convolution layers produce the final predation. Three comparative models using DWI images including MedicalNet with transfer learning, Simple DeepSym-3D-CNN (each 3D Inception Module is replaced by a simpl...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Liyuan Cui Shanhua Han Shouliang Qi Yang Duan Yan Kang Yu Luo Source Type: research

Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images
This study aims to use the self-developing irregular flux viewer (IFV) system to predict possible bone lesions in planar WBBS. The study uses gradient vector flow (GVF) and self-organizing map (SOM) methods to analyze the blood fluid-dynamics and evaluate hot points. The evaluation includes a selection of 368 patients with bone metastasis from prostate cancer, lung cancer and breast cancer. Finally, we compare IFV values with BONENAVI version data. BONENAVI is a computer-assisted diagnosis system that analyzes bone scintigraphy automatically. The analysis shows that the IFV system achieves sensitivities of 93% for prostate...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Chang-Ching Yu Chien-Yi Ting Ming-Hui Yang Hung-Pin Chan Source Type: research

Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images
This study includes 190 study subjects (97 AIS and 93 Non-AIS) by collecting both DWI and Apparent Diffusion Coefficient (ADC) images. 3D DWI brain images are split into left and right hemispheres and input into two paths. A map with 125×253×14×12 features is extracted by each path of Inception Modules. After the features computed from two paths are subtracted through L-2 normalization, four multi-scale convolution layers produce the final predation. Three comparative models using DWI images including MedicalNet with transfer learning, Simple DeepSym-3D-CNN (each 3D Inception Module is replaced by a simpl...
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Liyuan Cui Shanhua Han Shouliang Qi Yang Duan Yan Kang Yu Luo Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Examinations for creating an image of unacquired dose from the images of two types of dose in digital radiography
CONCLUSION: The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.PMID:33935128 | DOI:10.3233/XST-200807 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Toshiyuki Yuhara Tomokazu Numano Source Type: research

Total variation with modified group sparsity for CT reconstruction under low SNR
CONCLUSIONS: The proposed GOGS-TV model demonstrates its advantages to reduce stair artifacts especially in low SNR reconstruction because this new model considers both the sparsity of the gradient image and the structured sparsity. Meanwhile, the Gaussian kernel is utilized as a weighted factor that can be adapted to the global distribution.PMID:33935129 | DOI:10.3233/XST-200833 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Lingli Zhang Source Type: research

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network
CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research

Stereotactic body radiation therapy for non-small cell lung cancer using the non-coplanar radiation of Cyberknife and Varian linac
This study aims to evaluate the planned dose of stereotactic body radiation therapy (SBRT) for treating early peripheral non-small cell lung cancer (NSCLC) using the non-coplanar radiation from Cyberknife and Varian linac. Moreover, this study investigates whether Cyberknife and Varian linac are qualified for non-coplanar radiation SBRT for treating early peripheral NSCLC, and which one is better for protecting organs at risk (OARs).METHODS: Retrospective analysis was performed based on the Cyberknife radiation treatment plans (RTPs) and Varian Eclipse RTPs of 10 patients diagnosed with early peripheral NSCLC. The dose dis...
Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Wencheng Shao Ziyin Chen Yanchun Bai Bingchen Xu Lili Xu Qiushuang Zhao Yang Wang Xiaobin Tang Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization
CONCLUSIONS: This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.PMID:33843720 | DOI:10.3233/XST-210839 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Tiejun Yang Lu Tang Qi Tang Lei Li Source Type: research

A simple and fast ASD-POCS algorithm for image reconstruction
CONCLUSIONS: The derived simple matrix expressions of the gradients of these TV-type norms may simplify the implementation of the ASD-POCS algorithm and speed up the ASD process. Additionally, a general gradient expression suitable to all the sparse transform-based optimization models is demonstrated so that the ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.PMID:33843721 | DOI:10.3233/XST-210858 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2021 Category: Radiology Authors: Zhiwei Qiao Source Type: research