NSTL国家科技图书文献中心

1. The Feasibility of a Model-Based Iterative Reconstruction Technique Tuned for the Myocardium on Myocardial Computed Tomography Late Enhancement NSTL国家科技图书文献中心

Toritani, Hidetaka | Yoshida, Kazuki ... - 《Journal of computer assisted tomography》 - 2025,49(1) - 85～92 - 共8页

摘要： feasibility of a model-based iterative reconstruction | images were reconstructed with hybrid iterative | reconstruction (HIR), conventional MBIR (MBIR_cardiac), and new | Objectives This study evaluated the | technique (MBIR) tuned for the myocardium on myocardial

关键词： computed tomography | myocardial late enhancement | myocardium | iterative reconstruction | late gadolinium enhancement

2. Evaluation of reliability and radiation dose reduction in coronary artery calcium scoring by using a low tube current and low kilo-voltage peak with advanced modelled iterative reconstruction NSTL国家科技图书文献中心

Nandi, Debanjan | Pandey, Niraj Nirmal ... - 《Acta cardiologica.》 - 2025,80(1) - 13～20 - 共8页

摘要： modelled iterative* reconstruction (ADMIRE 5) with the* | ObjectiveThe present study sought to | compare the reliability and radiation dose of coronary | artery calcium (CAC) scoring using low tube current (16 | mAs), low kilo-voltage peak (100 kVp) and advanced

关键词： Coronary artery calcium scoring | low tube current | low kilo-voltage peak | advanced modeled iterative reconstruction

3. Multi-reader multiparametric DECT study evaluating different strengths of iterative and deep learning-based image reconstruction techniques NSTL国家科技图书文献中心

Jinjin,Cao | Nayla,Mroueh ... - 《European radiology.》 - 2025,35(2) - 885～896 - 共12页

摘要： adaptive statistical iterative* reconstruction-V (ASIR-V* | compared to adaptive statistical iterative reconstruction | statistical iterative* reconstruction-V (ASIR-V* | image reconstruction* (DLIR) and standard-of-care* | reconstruction in dual-energy CT demonstrated significant

关键词： Computed tomography | Deep learning | Dual-energy CT | Adaptive statistical iterative reconstruction | Abdomen

4. A nonlocal prior in iterative CT reconstruction NSTL国家科技图书文献中心

Shu, Ziyu | Entezari, Alireza - 《Medical Physics》 - 2025,52(3) - 1436～1453 - 共18页

摘要： improving the performance of iterative CT reconstruction | ) reconstruction* problems are always framed as inverse problems* | makes accurate reconstruction* challenging. Existing* | steer reconstruction* algorithms to the most plausible* | further boost reconstruction* precision.PurposeThis study*

关键词： compressed sensing | computed tomography | few-view CT | limited-angle CT | low-dose CT | reconstruction algorithm | few‐view CT | limited‐angle CT | low‐dose CT

5. Effect of adaptive statistical iterative reconstruction-V algorithm and deep learning image reconstruction algorithm on image quality and emphysema quantification in COPD patients under ultra-low-dose conditions NSTL国家科技图书文献中心

Ma, Guangming | Dou, Yuequn ... - 《British Journal of Radiology》 - 2025,98(1168) - 535～543 - 共9页

摘要： reconstruction algorithms (ASIR-V and DLIR) on image quality | reconstruction is comparable to standard dose images for | Purpose To explore the effect of different | and emphysema quantification in chronic obstructive | pulmonary disease (COPD) patients under ultra-low-dose

关键词： emphysema | deep learning image reconstruction | ultra-low-dose CT | quantitative analysis

6. Probabilistic regularization load reconstruction method based on iterative strategy NSTL国家科技图书文献中心

Lin, Bochao | Shi, Qinghe ... - 《Journal of Sound and Vibration》 - 2025,596 - 共18页

摘要： reconstruction method based on an iterative strategy by using | traditional Green's function-based load reconstruction | method, this paper proposes a load reconstruction | method based on an iterative* solution strategy. Using* | response to obtain a reconstruction* result closer to the*

关键词： Load reconstruction | Acceleration response | Load estimate iteration | Uncertainty | Probability

7. Iterative Time Series Imputation by Maintaining Dependency Consistency NSTL国家科技图书文献中心

HANWEN HU | SHIYOU QIAN ... - 《ACM transactions on knowledge discovery from data》 - 2025,19(1) - 6.1～6.24 - 共24页

摘要： incomplete representation mechanism (IRM) with an iterative | reconstruction framework (IRF) to establish a closed-loop | Data imputation is crucial in the analysis of | incomplete time series, such as forecasting and | classification, which involves learning dependencies among the

关键词： Time Series Imputation | Iterative Reconstruction | Incomplete Representation

8. Accelerated cardiac cine with spatio-coil regularized deep learning reconstruction NSTL国家科技图书文献中心

Demirel, Omer Burak | Ghanbari, Fahime ... - 《Magnetic resonance in medicine》 - 2025,93(3) - 1132～1148 - 共17页

摘要： iterative deep learning reconstruction incorporating | Purpose: To develop an iterative* deep learning* | (DL) reconstruction* with spatio-coil regularization* | )-DL reconstruction. In the retrospective | and multichannel k-space data consistency for

关键词： cine imaging | deep learning | iterative reconstruction

9. A three-dimensional curve interface reconstruction algorithm for two-phase fluid flow NSTL国家科技图书文献中心

Chen, Yujie | Gong, Junhua ... - 《Journal of Computational Physics》 - 2025,520 - 共31页

摘要： iterative reconstruction (SIR) algorithm is proposed to | The curve interface reconstruction* algorithm* | reconstruction (CIR) algorithm to address this challenge within | involving the interface reconstruction* of spherical* | implementation and coding for interface reconstruction* in two*

关键词： Curve interface reconstruction algorithm | Sphere-based iterative reconstruction algorithm | Three-dimensional two-phase flow

10. Optimization Method for DSM Reconstruction of Equivalent Pinhole Model Based on Iterative Resampling and Chunking Process NSTL国家科技图书文献中心

Yongjian Li | Song Ji ... - 《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 6870～6883 - 共14页

摘要：. In photogrammetry, the 3-D reconstruction | speed and accuracy of 3-D reconstruction. At the same | time, the progress in 3-D reconstruction* technology* | reconstruction of satellite imagery with row-sampled central | 3-D reconstruction* on satellite imagery. This*

关键词： Three-dimensional displays | Computational modeling | Solid modeling | Satellite images | Image reconstruction | Imaging | Cameras | Satellites | Computer vision | Accuracy

摘要： feasibility of a model-based iterative reconstruction | images were reconstructed with hybrid iterative | reconstruction (HIR), conventional MBIR (MBIR_cardiac), and new | Objectives This study evaluated the | technique (MBIR) tuned for the myocardium on myocardial

关键词： computed tomography | myocardial late enhancement | myocardium | iterative reconstruction | late gadolinium enhancement

摘要： modelled iterative reconstruction (ADMIRE 5) with the | ObjectiveThe present study sought to | compare the reliability and radiation dose of coronary | artery calcium (CAC) scoring using low tube current (16 | mAs), low kilo-voltage peak (100 kVp) and advanced

关键词： Coronary artery calcium scoring | low tube current | low kilo-voltage peak | advanced modeled iterative reconstruction

摘要： adaptive statistical iterative reconstruction-V (ASIR-V | compared to adaptive statistical iterative reconstruction | statistical iterative reconstruction-V (ASIR-V | image reconstruction (DLIR) and standard-of-care | reconstruction in dual-energy CT demonstrated significant

关键词： Computed tomography | Deep learning | Dual-energy CT | Adaptive statistical iterative reconstruction | Abdomen

关键词： compressed sensing | computed tomography | few-view CT | limited-angle CT | low-dose CT | reconstruction algorithm | few‐view CT | limited‐angle CT | low‐dose CT

摘要： reconstruction algorithms (ASIR-V and DLIR) on image quality | reconstruction is comparable to standard dose images for | Purpose To explore the effect of different | and emphysema quantification in chronic obstructive | pulmonary disease (COPD) patients under ultra-low-dose

关键词： emphysema | deep learning image reconstruction | ultra-low-dose CT | quantitative analysis

摘要： reconstruction method based on an iterative strategy by using | traditional Green's function-based load reconstruction | method, this paper proposes a load reconstruction | method based on an iterative solution strategy. Using | response to obtain a reconstruction result closer to the

关键词： Load reconstruction | Acceleration response | Load estimate iteration | Uncertainty | Probability

摘要： incomplete representation mechanism (IRM) with an iterative | reconstruction framework (IRF) to establish a closed-loop | Data imputation is crucial in the analysis of | incomplete time series, such as forecasting and | classification, which involves learning dependencies among the

关键词： Time Series Imputation | Iterative Reconstruction | Incomplete Representation

摘要： iterative deep learning reconstruction incorporating | Purpose: To develop an iterative deep learning | (DL) reconstruction with spatio-coil regularization | )-DL reconstruction. In the retrospective | and multichannel k-space data consistency for

关键词： cine imaging | deep learning | iterative reconstruction

摘要： iterative reconstruction (SIR) algorithm is proposed to | The curve interface reconstruction algorithm | reconstruction (CIR) algorithm to address this challenge within | involving the interface reconstruction of spherical | implementation and coding for interface reconstruction in two

关键词： Curve interface reconstruction algorithm | Sphere-based iterative reconstruction algorithm | Three-dimensional two-phase flow

摘要：. In photogrammetry, the 3-D reconstruction | speed and accuracy of 3-D reconstruction. At the same | time, the progress in 3-D reconstruction technology | reconstruction of satellite imagery with row-sampled central | 3-D reconstruction on satellite imagery. This

关键词： Three-dimensional displays | Computational modeling | Solid modeling | Satellite images | Image reconstruction | Imaging | Cameras | Satellites | Computer vision | Accuracy

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国家科技图书文献中心

摘要： modelled iterative* reconstruction (ADMIRE 5) with the* | ObjectiveThe present study sought to | compare the reliability and radiation dose of coronary | artery calcium (CAC) scoring using low tube current (16 | mAs), low kilo-voltage peak (100 kVp) and advanced

摘要： adaptive statistical iterative* reconstruction-V (ASIR-V* | compared to adaptive statistical iterative reconstruction | statistical iterative* reconstruction-V (ASIR-V* | image reconstruction* (DLIR) and standard-of-care* | reconstruction in dual-energy CT demonstrated significant

摘要： reconstruction method based on an iterative strategy by using | traditional Green's function-based load reconstruction | method, this paper proposes a load reconstruction | method based on an iterative* solution strategy. Using* | response to obtain a reconstruction* result closer to the*

摘要： iterative deep learning reconstruction incorporating | Purpose: To develop an iterative* deep learning* | (DL) reconstruction* with spatio-coil regularization* | )-DL reconstruction. In the retrospective | and multichannel k-space data consistency for

摘要：. In photogrammetry, the 3-D reconstruction | speed and accuracy of 3-D reconstruction. At the same | time, the progress in 3-D reconstruction* technology* | reconstruction of satellite imagery with row-sampled central | 3-D reconstruction* on satellite imagery. This*