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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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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 for novel ultrafast magnetic resonance imaging

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INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY 1999年第3期10卷 209-215页

作者： Rybicki, FJ Patz, S Hrovat, MI Pulyer, YM Brigham & Womens Hosp Dept Radiol Boston MA 02115 USA Harvard Univ Sch Med Boston MA 02115 USA Mirtech Inc Brockton MA 02301 USA

We introduce a new magnetic field geometry, B-x(x, y) = g(y)y cos(q(x)x), to spatially encode magnetic resonance imaging (MRI). The field is called the PERL field since it is PERiodic in x and Linear in y. A technique is proposed to acquire two-dimensional (2D) data without switching the encoding fields. The time-domain PERL signal and image are not related by a two-dimensional Fourier transform (2DFT). They are related by a 1DFT in the x-dimension and a new Bessel function integral transform, called the PERL transform, in the y-dimension. We numerically solve this equation and develop a reconstruction algorithm. The algorithm is evaluated by assuming a known spin density which is then used to calculate the PERL signal. This signal is the input for the algorithm. We show the reconstructed image matches the convolution of the initial assumed spin density and a point spread function (PSF). We identify the PSF and describe the conditions under which it approaches delta. (C) 1999 John Wiley & Sons, Inc.

关键词： integral transformations digitally dimensions coding Transform Fields reconstruction algorithm

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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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reconstruction algorithm FOR OBTAINING THE BENDING DEFORMATION OF THE BASE OF HEAVY-DUTY MACHINE TOOL USING INVERSE FINITE ELEMENT METHOD

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METROLOGY AND MEASUREMENT SYSTEMS 2018年第4期25卷 727-741页

作者： Liu, Mingyao Zhang, Xiong Song, Han Wang, Jingliang Zhou, Shiguang Wuhan Univ Technol Sch Mech & Elect Engn Wuhan 430070 Hubei Peoples R China Hubei Digital Mfg Key Lab Wuhan 430070 Hubei Peoples R China

The field of mechanical manufacturing is becoming more and more demanding on machining accuracy. It is essential to monitor and compensate the deformation of structural parts of a heavy-duty machine tool. The deformation of the base of a heavy-duty machine tool is an important factor that affects machining accuracy. The base is statically indeterminate and complex in load. It is difficult to reconstruct deformation by traditional methods. A reconstruction algorithm for determining bending deformation of the base of a heavy-duty machine tool using inverse Finite Element Method (iFEM) is presented. The base is equivalent to a multi-span beam which is divided into beam elements with support points as nodes. The deflection polynomial order of each element is analysed. According to the boundary conditions, the deformation compatibility conditions and the strain data measured by Fiber Bragg Grating (FBG), the deflection polynomial coefficients of a beam element are determined. Using the coordinate transformation, the deflection equation of the base is obtained. Both numerical verification and experiment were carried out. The deflection obtained by the reconstruction algorithm using iFEM and the actual deflection measured by laser displacement sensors were compared. The accuracy of the reconstruction algorithm is verified.

关键词： inverse Finite Element Method bending deformation heavy-duty machine tool reconstruction algorithm statically indeterminate structure

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reconstruction algorithm using exact tree projection for tree-structured compressive sensing

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IET SIGNAL PROCESSING 2016年第5期10卷 566-573页

作者： Wang, Maojiao Wu, Xiaohong Jing, Wenhui He, Xiaohai Sichuan Univ Coll Elect & Informat Engn Image Informat Inst 24 South Sect 1Yihuan Rd Chengdu Peoples R China Panzhihua Univ Deans Off Panzhihua Peoples R China Xichang Satellite Launch Ctr Xichang Peoples R China

Tree-structured compressive sensing (CS) shows that it is possible to recover tree-sparse signals using fewer measurements compared with conventional CS. However, performance guarantees rely heavily on the premise that an exact tree projection (ETP) algorithm is employed. Nevertheless, for a given sparsity, the condensing sort and select algorithm in the model-based compressive sampling matching pursuit (CoSaMP) algorithm can only yield an approximate tree projection. Therefore, in order to ensure reconstruction precision, the authors propose the combination of an ETP algorithm with the CoSaMP algorithm. Further, the hierarchical wavelet connected tree is also integrated into the ETP-CoSaMP algorithm to offset the high computational complexity of the ETP algorithm. Experimental results indicate that the hierarchical ETP based on CoSaMP algorithm (HETP-CoSaMP algorithm) enhances reconstruction accuracy while retaining reconstruction time that is comparable with that of the model-based CoSaMP algorithm.

关键词： signal reconstruction compressed sensing trees (mathematics) wavelet transforms iterative methods time-frequency analysis computational complexity exact tree projection algorithm tree-structured compressive sensing ETP algorithm model-based compressive sampling matching pursuit algorithm hierarchical wavelet connected tree computational complexity HETP-CoSaMP algorithm reconstruction algorithm tree-sparse signal recovery

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reconstruction algorithm in lattice-invariant signal spaces

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2005年第7期6卷 760-763页

作者：冼军 Department of Mathematics Zhejiang University

In this paper, we mainly pay attention to the weighted sampling and reconstruction algorithm in lattice-invariant signal spaces. We give the reconstruction formula in lattice-invariant signal spaces, which is a generalization of former results in shift-invariant signal spaces. That is, we generalize and improve Aldroubi, Groechenig and Chen＇s results, respectively. So we obtain a general reconstruction algorithm in lattice-invariant signal spaces, which the signal spaces is sufficiently large to accommodate a large number of possible models. They are maybe useful for signal processing and communication theory.

关键词： Lattice-invariant space reconstruction algorithm Irregular sampling

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reconstruction algorithm for high-numerical-aperture holograms with diffraction-limited resolution

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OPTICS LETTERS 2006年第11期31卷 1633-1635页

作者： Zhang, FC Pedrini, G Osten, W Univ Stuttgart Inst Tech Opt D-70569 Stuttgart Germany

A fast algorithm is proposed for the reconstruction of digital holograms that are recorded at high numerical aperture. The method directly evaluates the Rayleigh-Sommerfeld diffraction integral by use of a fast convolution algorithm. A shift parameter that accounts for the coordinate system's transverse displacement of the object plane and the hologram plane is introduced in a discrete representation of the diffraction kernel. Combination of the samplings reconstructed with different shift values yields diffraction-limited resolution over the full field of view. The algorithm is suitable for various applications such as holographic microscopy and metrology. Simulation and experimental results are presented. (c) 2006 Optical Society of America.

关键词： Coordinate system Holograms resolution limit Planing diffraction reconstruction algorithm Resolving power

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reconstruction algorithm for nasal basal cell carcinoma with skin involvement only: analysis of 221 cases repaired by minor surgery

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CLINICAL AND EXPERIMENTAL DERMATOLOGY 2015年第7期40卷 728-734页

作者： Kim, Y. J. Cho, H. H. Kim, S. O. Lee, J. B. Lee, S. C. Chonnam Natl Univ Sch Med Dept Dermatol Gwangju 501757 South Korea Chonnam Natl Univ Sch Med Dept Otolaryngol Head & Neck Surg Gwangju 501757 South Korea Chonnam Natl Univ Sch Med Dept Urol Gwangju 501757 South Korea

Background. Basal cell carcinoma (BCC) often occurs on the nose. reconstruction of the nose should yield excellent aesthetic and functional outcomes. Aim. We propose a technical algorithm for the reconstruction of surgical defects, based on our analysis of 221 cases of nasal BCC with skin involvement only, which could be repaired by minor surgery. Methods. The aesthetic and functional outcomes for various reconstruction techniques were analysed according to defect location and size. A reconstruction algorithm was proposed with the aim of obtaining the best surgical results. Results. Defect location and size were key considerations. Primary closure was the first option for small defects (< 10 mm), with scores of 3.4 for objective aesthetic outcome (OAO), 3.2 for subjective aesthetic outcome (SAO) and 3.3 for subjective functional outcome (SFO). The first option for medium defects (1-20 mm) was the island pedicle flap, with scores of 3.5 for OAO, 3.2 for SAO and 3.7 for SFO. The first option for large defects (> 20 mm) was the transposition flap for the upper nose (scores of 2.0 for OAO and SAO and 3.0 for SFO) and the interpolation flap for the lower nose (2.8 for OAO and 2.9 for SAO and SFO). Conclusions. We have proposed an algorithm to select the optimal technique for repairing nasal BCC surgical defects according to their size and location.

关键词： Nose Basal Cell Cancer nose reconstruction Surgical Procedures, Minor reconstruction algorithm

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reconstruction algorithm OF SEA SURGE SPATIAL SPECTRUM USING COMPOSITE SIGNALS 24

RECONSTRUCTION ALGORITHM OF SEA SURGE SPATIAL SPECTRUM USING...

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24th International Crimean Conference Microwave & Telecommunication Technology (CriMiCo)

作者： Potipak, M., V Lobach, V. T. Southern Fed Univ Engn & Technol Acad 44 Nekrasovskiy Lane Taganrog 347928 Rostov Reg Russia

This paper presents one of possible methods for sea surge spectral characteristics estimation based on analysis of scattered probe signal, consistent with surface impulse response. The relative mean square error of se... 详细信息

ISBN: (纸本)9789663354125

关键词： geophysical signal processing mean square error methods ocean waves spectral analysis composite signals energy spectrum component amplitude measurement reconstruction algorithm relative mean square error method scattered probe signal sea surge spatial spectrum sea surge spectral characteristics estimation sea waves surface impulse response Surges

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