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Model-driven CT reconstruction algorithm for nano-resolution x-ray phase contrast imaging

Chinese Physics B 2024年第7期33卷 646-650页

作者：谭雨航蔡学宝杨杰成苏婷郑海荣梁栋朱佩平葛永帅 Research Center for Medical Artificial Intelligence Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Institute of Electronic Paper Displays South China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China Paul C Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China

The low-density imaging performance of a zone plate-based nano-resolution hard x-ray computed tomography(CT)system can be significantly improved by incorporating a grating-based Lau interferometer. Due to the diffraction, however,the acquired nano-resolution phase signal may suffer splitting problem, which impedes the direct reconstruction of phase contrast CT(nPCT) images. To overcome, a new model-driven nPCT image reconstruction algorithm is developed in this study. In it, the diffraction procedure is mathematically modeled into a matrix B, from which the projections without signal splitting can be generated invertedly. Furthermore, a penalized weighted least-square model with total variation(PWLSTV) is employed to denoise these projections, from which nPCT images with high accuracy are directly *** experiments demonstrate that this new algorithm is able to work with phase projections having any splitting distances. Moreover, results also reveal that nPCT images of higher signal-to-noise-ratio(SNR) could be reconstructed from projections having larger splitting distances. In summary, a novel model-driven nPCT image reconstruction algorithm with high accuracy and robustness is verified for the Lau interferometer-based hard x-ray nano-resolution phase contrast imaging.

关键词： splitting phase image reconstruction algorithm grating interferometer

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Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma

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EJNMMI PHYSICS 2025年第1期12卷 1-11页

作者： Qiao, Wenli Wang, Taisong Yi, Hongyuan Li, Xuebing Lv, Yang Xi, Chen Wu, Runze Wang, Ying Yu, Ye Xing, Yan Zhao, Jinhua Shanghai Jiao Tong Univ Shanghai Gen Hosp Sch Med Dept Nucl Med Shanghai Peoples R China United Imaging Healthcare Grp Co Ltd Shanghai Peoples R China Jincheng Peoples Hosp Jincheng Shanxi Peoples R China Shanghai Jiao Tong Univ Shanghai Gen Hosp Hosp Affairs Off Sch Med Shanghai Peoples R China

BackgroundA deep progressive learning method for PET image reconstruction named deep progressive reconstruction (DPR) method was developed and presented in previous works. It has been shown in previous study that the DPR with one-third duration can maintain the image quality as OSEM with standard dose (3.7 MBq/kg). Subsequent studies have shown we can reduce the administered activity of 18F-FDG by up to 2/3 in a real-world deployment with DPR. The aim of this study is to assess the impact of the use of DPR on Deauville score (DS) and clinical interpretation of PET/CT in patients with *** total of 87 lymphoma patients (age, 45.1 +/- 14.9 years) who underwent 18F-FDG PET imaging for during or post-treatment follow-up from November 2020 to February 2024 were prospectively enrolled. The patients were randomly assigned to two groups, including the 1/3 standard dose group and the standard dose group. Forty-four patients were injected with 1/3 standard dose (1.23 MBq/kg) and scanned for 6 min per bed and were reconstructed: ordered-subsets expectation maximization (OSEM) with 6 min per bed (OSEM_6 min_1/3), OSEM_2 min_1/3 and DPR_2 min_1/3. Forty-three patients were scanned according to the standard protocol (3.7 MBq/kg) and were reconstructed: OSEM with 2 min per bed (OSEM_2 min_full), OSEM_40 s_full and DPR_40 s_full. Additionally, the conventional 5-point scale measurement analysis was performed and DS for lymphoma were determined in different groups. Wilcoxon signed-rank test was used to compare the mean values of liver SUVmax and mediastinal blood pool (MBP) SUVmax in each group. Likert scale and DS were evaluated using Wilcoxon signed rank *** patients with OSEM_6 min_1/3 and DPR_2 min_1/3 showed good image quality with 5(5,5) and 5(4,5) of Likert scoring, as well as the patients with OSEM_2 min_full and DPR_40 s_full. No significant difference was found between the OSEM_6 min_1/3 and DPR_2 min_1/3 groups in terms of liver SUVmax and MBP SUV

关键词： Deauville score Lymphoma PET/CT Deep progressive reconstruction reconstruction algorithm

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Squamous cell carcinoma of lip: Clinical feature analysis and suggestion of reconstruction algorithm

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JOURNAL OF DERMATOLOGY 2024年第6期51卷 799-806页

作者： Park, Jung Won Kim, Taehee Chung, Kee Yang Roh, Mi Ryung Yonsei Univ Coll Med Cutaneous Biol Res Inst Dept DermatolSeverance Hosp Seoul South Korea Yonsei Univ Gangnam Severance Hosp Cutaneous Biol Res Inst Dept DermatolColl Med Seoul South Korea Gangnam Severance Hosp Dept Dermatol Cutaneous Biol Res Inst 20 Eonjuro 63 Gil Seoul 06229 South Korea

reconstruction of lips after squamous cell carcinoma (SCC) removal should restore functional and aesthetic roles;however, it remains a challenge. In this study we describe the clinical features of lip SCC and suggest a reconstruction algorithm. We retrospectively analyzed 34 patients with lip SCC who underwent reconstruction after Mohs micrographic surgery between January 2006 and March 2022. The mean age of the patients was 70.2 years. Seven tumors were on the upper lip and 27 tumors were on the lower lip. Twenty-five defects were located on the mucosal lip, eight defects involved both the mucosal and cutaneous lips, and one defect was confined to the cutaneous lip. Eighteen defects were smaller than 50% of the total lip size, and 16 were larger than 50%. Primary closure was mostly performed for defects smaller than 50% of the lip size (9/18 cases), and local flap, according to the location and size of the defects, was performed for larger defects. Thirteen patients experienced postoperative complications but improved within 1 year after surgery, except for one patient. We suggest a reconstruction algorithm with a 50% cut-off value. Defects smaller than 50% of the lip size could be reconstructed by primary closure. Even larger defects could be reconstructed by creation of a local flap from the remaining adjacent tissue with minimal postoperative complications.

关键词： clinical feature lip reconstruction Mohs micrographic surgery reconstruction algorithm squamous cell carcinoma

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An image reconstruction algorithm based on three-dimensional DBSCAN for energy-resolved neutron imaging

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RADIATION DETECTION TECHNOLOGY AND METHODS 2025年 1-7页

作者： Gao, Haoning Wei, Yadong Jiang, Xingfen Zhou, Jianrong Yang, Wenqin Liu, Jie Zhou, Xiaojuan Zhu, Lin Wang, Xiuku Deng, Kai Sun, Zhijia Chen, Yuanbo Dongguan Univ Technol Sch Comp Sci & Technol Dongguan 523808 Peoples R China Chinese Acad Sci Inst High Energy Phys State Key Lab Particle Detect & Elect Beijing 100049 Peoples R China Dongguan Univ Technol Inst Sci & Technol Innovat Inst Sci & Technol Innovat & Adv Mfg Dongguan 523803 Peoples R China Spallat Neutron Source Sci Ctr Dongguan 523803 Peoples R China Harbin Engn Univ Harbin 150000 Heilongjiang Peoples R China

Backgroup Energy-resolved neutron imaging is an effective method to investigate the crystal structure and stress distribution of materials. The energy-resolved neutron imaging instrument (ERNI) has been established at China Spallation Neutron Source (CSNS). An energy-resolved neutron imaging detector based on the high-speed camera TPX3Cam is used at ERNI to achieve neutron energy resolution by recording time-of-flight (ToF) of neutrons. TPX3Cam records the photon events emitted by the neutron absorption in the scintillator. An image reconstruction algorithm is needed to reconstruct the neutron events to improve the spatial and energy resolution of the detector. Purpose The data output from the TPX3Cam contains photon events that dispersion in space and time. We want to develop an image reconstruction algorithm to identify photon events produced by a single neutron and remove the gamma ray as well as the noise. Finally, better spatial resolution and energy resolution can be obtained by neutron events reconstruction. Method Image reconstruction algorithms involves photon events clustering and neutron events reconstruction. Based on the traditional two-dimensional density-based spatial clustering of applications with noise (DBSCAN) algorithm, the threedimensional DBSCAN algorithm is developed including ToF as the third dimension of information. The precision of Bragg edge of a sample is related to the energy resolution of the detector;thus, the quality of the parameters can be evaluated by the improvement in Bragg edge precision after reconstruction. Result and conclusion The three-dimensional DBSCAN algorithm can proceed the image data effectively and identify the neutron events and noise. The precision of reconstructed Bragg edges is improved from 3.601 parts per thousand to 3.337 parts per thousand, and the spatial resolution is improved from 150 mu m /line width to 100 mu m /line width.

关键词： Energy-resolved neutron imaging TPX3Cam reconstruction algorithm DBSCAN

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reconstruction algorithm of 3D surface in scanning electron microscopy with backscattered electron detector

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JOURNAL OF INVERSE AND ILL-POSED PROBLEMS 2021年第5期29卷 753-758页

作者： Borzunov, Andrey A. Lukyanenko, Dmitry, V Rau, Eduard, I Yagola, Anatoly G. Lomonosov Moscow State Univ Fac Phys Dept Math Moscow 119991 Russia Moscow Ctr Fundamental & Appl Math Moscow 119234 Russia Lomonosov Moscow State Univ Fac Phys Dept Phys Elect Moscow 119991 Russia

A new technique for three-dimensional surface reconstruction of relatively smooth surface topography using the scanning electron microscopy with backscattered electron detector is considered. Experiments show high eff... 详细信息

关键词： Scanning electron microscopy backscattered electrons detector 3D topography reconstruction algorithm

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CARLEMAN-BASED reconstruction algorithm FOR WAVES

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SIAM JOURNAL ON NUMERICAL ANALYSIS 2021年第2期59卷 998-1039页

作者： Baudouin, Lucie De Buhan, Maya Ervedoza, Sylvain Osses, Axel Univ Toulouse CNRS LAAS CNRS F-31031 Toulouse France Univ Paris Saclay Lab Math Orsay CNRS F-91405 Orsay France Univ Bordeaux F-33400 Talence France CNRS IMB UMR 5251 F-33400 Talence France Univ Chile Dept Ingn Matemat UMI 2807 CNRS FCFM Santiago Chile Univ Chile Ctr Modelamiento Matemat UMI 2807 CNRS FCFM Santiago Chile

We present a globally convergent numerical algorithm based on global Carleman estimates to reconstruct the speed of wave propagation in a bounded domain with Dirichlet boundary conditions from a single measurement of the boundary flux of the solutions in a finite time interval. The global convergence of the proposed algorithm naturally arises from the proof of the Lipschitz stability of the corresponding inverse problem for both sufficiently large observation time and boundary using global Carleman inequalities. The speed of propagation is supposed to be independent of time but varying in space with a trace and normal derivative known at the boundary and belonging to a certain admissible set that limits the speed fluctuations with respect to a given exterior point x(0). In order to recover the speed, we also require a single experiment with null initial velocity and initial deformation having some monotonicity properties in the direction of x-x(0). We perform numerical simulations in the discrete setting in order to illustrate and to validate the feasibility of the algorithm in both one and two dimensions in space. As proved theoretically, we verify that the numerical reconstruction is achieved for any admissible initial guess, even in the presence of small random disturbances on the measurements.

关键词： hyperbolic equation inverse problem reconstruction algorithm Carleman estimates

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RETRACTED: Music curriculum integration and reconstruction model based on advanced music waveform iterative reconstruction algorithm (Retracted Article)

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2024年第2期46卷 4641-4655页

作者： Gao, Miaomiao Minjiang Univ Tsai Chi kun Acad Mus Fuzhou 350108 Peoples R China

To improve the effect of intelligent teaching in music classrooms, this paper combines the advanced music waveform iterative reconstruction algorithm to analyze the integration and reconstruction of the music curriculum. Aiming at the problem that the projection matrix occupies a large space and takes a long time to calculate in iterative reconstruction, a fast and real-time incremental method for generating a music wave matrix is proposed. The improved method avoids the judgment and comparison calculations performed by the incremental method when calculating the length and number of each voxel that the ray passes through. The research results show that the music curriculum integration and reconstruction model based on the advanced music waveform iterative reconstruction algorithm can effectively improve the teaching effect of modern music classrooms.

关键词： Advanced iteration reconstruction algorithm music curriculum integration reconstruction

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Line Scanning Thermography reconstruction algorithm for Defects Inspection With Novel Velocity Estimation and Image Registration

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IEEE SENSORS JOURNAL 2021年第10期21卷 11555-11568页

作者： Deng, Baoyuan Li, Xiang Wang, Hongjin He, Yunze Ciampa, Francesco Li, Yiwen Zhou, Ke Hunan Univ Coll Elect & Informat Engn Changsha 410082 Peoples R China Univ Surrey Dept Mech Engn Sci Guildford GU2 7XH Surrey England Air Force Engn Univ Sci & Technol Plasma Dynam Lab Xian 710038 Peoples R China Air Force Engn Univ Aeronaut Engn Coll Xian 710038 Peoples R China

Line scanning thermography (LST) is a fast non-destructive inspection (NDI) method for large-scale components. However, the current reconstruction algorithms for LST require the match between the frame rate and the scanning velocity. Moreover, these algorithms bring in spatial distortions. This paper proposes a non-orthogonal reconstructed space for LST. In such a space, the excitation motion in the line scanning process is described as a function of time delay, the moving velocity is estimated by the derived position map, and the reconstruction is achieved by image registration. The LST data are registered spatially by allowing the temporal misalignment among the pixels within the same reconstructed frame. The effectiveness of the proposed reconstruction algorithm is validated by both numerical simulations and experiments. The reconstruction results of experimental data indicate that the velocity is finely estimated so that the temporal alignment error is controlled within one pixel. Besides, no spatial distortions occur no matter how the frame rate and scanning velocity change. Furthermore, the Fourier phase image of the reconstructed LST reaches the diameter-to-depth ratio of 1.25 when inspecting a planar specimen with flat-bottom holes.

关键词： Image reconstruction Estimation Inspection reconstruction algorithms Sensors Image registration Distortion Defect inspection image registration line scanning thermography reconstruction algorithm

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A reconstruction algorithm for Wide-Area Protection Communication Network

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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2021年第5期16卷 730-742页

作者： Li, Zhenxing Cheng, Zhaolin Gong, Yang Wang, Lu Wang, Pengfei China Three Gorges Univ Coll Elect Engn & New Energy 8 Univ Rd Yichang 443002 Hubei Peoples R China State Grid Hubei DC Operat & Maintenance Co 139 Chengdong Ave Yichang 443000 Hubei Peoples R China

The communication network of wide-area protection may be interrupted because of the severe environment or artificial damage. The delay of communication will increase so much that the wide-area protection cannot work normally in some severe cases mentioned above. That is one of the factors which affect the application of wide-area protection. A reconstruction algorithm including different circuitous modes for different situations is proposed to maintain the transmission of the data on the interrupted channel. On the one hand, a single-path circuitous mode is proposed when the data in the shut path is small. In this situation, the best circuitous path can be found out by Floyd considering the several reference factors affection. On the other hand, a multi-paths circuitous model is proposed to solve the congestion which is caused by detouring under single-path circuitous mode. The available margin of the bandwidth of the weakest channel called the short-board channel in each circuitous path is the focus of the algorithm. In this situation, the optimal shunt coefficients are determined according to the bandwidth margin ratio of the short-board channel. Then the data on the interrupted channel is divided into several streams based on the shunt coefficients. Therefore, the balance of the communication network can be ensured after the interrupted channel is divided. Finally, with OPNET communication simulation software, the IEEE14 nodes network is built. Delay and balance of system based on this reconstruction algorithm are tested. (c) 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

关键词： wide‐ area protection reconstruction algorithm channel been interrupted Floyd single‐ path circuitous mode multi‐ paths circuitous mode

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A new reconstruction algorithm based on temporal neural network and its application in power quality disturbance data

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MEASUREMENT & CONTROL 2021年第7-8期54卷 1199-1207页

作者： Liu, Yan Tang, Wei Luan, Yiduo Shaanxi Univ Sci Technol Dept Elect & Control Engn Xian 710021 Peoples R China

The traditional reconstruction algorithms based on p-norm, limited by their reconstruction model and data processing mode, are prone to reconstruction failure or long reconstruction time. In order to break through the limitations, this paper proposes a reconstruction algorithm based on the temporal neural network (TCN). A new reconstruction model based on TCN is first established, which does not need sparse representation and has large-scale parallel processing. Next, a TCN with a fully connected layer and symmetrical zero-padding operation is designed to meet the reconstruction requirements, including non-causality and length-inconsistency. Moreover, the proposed algorithm is constructed and applied to power quality disturbance (PQD) data. Experimental results show that the proposed algorithm can implement the reconstruction task, demonstrating better reconstruction accuracy and less reconstruction time than OMP, ROMP, CoSaMP, and SP. Therefore, the proposed algorithm is more attractive when dictionary design is complicated, or real-time reconstruction is required.

关键词： Compressed sensing reconstruction algorithm temporal convolutional network power quality disturbance

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