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2nd International Symposium on Computational Intelligence and Design

作者： Yan, Hua Liu, Li Jun Qiang, Da Zhuang Shenyang Univ Technol Sch Informat Sci & Engn Shenyang 110178 Peoples R China

ISBN: (纸本)9780769538655

Conventional electrical capacitance tomography (ECT) image reconstruction relies on the sensitivity matrix of ECT sensor. The linear back-projection algorithm using sensitivity matrix, (LBP_SM for short) and the Landweber Iterative algorithm using sensitivity matrix (I_SM for short) are the most widely used algorithms. An iterative ECT reconstruction algorithm is researched in this paper. Its ECT forward model is obtained by using multivariate linear regression, and its solution of the inverse problem is obtained by iteration, so we call this algorithm I_MLR for short. Capacitance values of a 16-electrode ECT sensor under 10 permittivity distributions are calculated using ECT finite element analysis software. reconstruction images and reconstruction errors generated by above three algorithms are compared. Comparison results show that I_MLR algorithm can produce much better images than can the LBP_SM algorithm;better images than can the I_SM algorithm in most cases.

关键词： electrical capacitance tomography reconstruction algorithm iteration

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Study of Feature reconstruction algorithm for Surface Mesh

Study of Feature Reconstruction Algorithm for Surface Mesh

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IEEE International Conference on Robotics and Biomimetics (ROBIO)

作者： Feng ShaoWei Zhang Jing Zeng Bin Naval Univ Engn Wuhan 430030 Hubei Peoples R China Naval Univ Engn Management Engn Dept Wuhan 430030 Hubei Peoples R China

ISBN: (纸本)9781424447749

algorithms for feature-based surface fitting in meshes were presented. Most algorithms for fitting surfaces to meshes do not provide information about high-level form features. Such features convey the designer's intent in the context of the expected application. This research addresses the problem by developing a framework to incorporate high-level freeform features in the solid model. As part of this framework, we have developed algorithms and demonstrated their capability to detect both simple analytical shapes and also freeform feature templates. A solid model is constructed using this parametric form feature information.

关键词： Solid models surface fitting reconstruction algorithm Meshes Frameworks algorithms Medical Subject Headings

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A Three Dimensional reconstruction algorithm for Rotationally Scanned Objects

A Three Dimensional Reconstruction Algorithm for Rotationall...

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作者： Nariman, Siamak Texas A&M University

Ultrasound imaging is a medical modality that uses high frequency sound waves to produce high resolution images of internal tissues’ structures. Since ultrasound images are captured in real time, the modality provides a refined method to analyze internal organs such as liver, kidney and heart. Ultrasound imaging is relatively inexpensive and safe compared to other imaging modalities. So, it is used for diagnosis of a wide range of diseases. One of the emerging techniques in the ultrasound imaging field is three-dimensional (3D) imaging. Typically, ultrasound transducer arrays are used to capture 2D views of the tissue under investigation. 2D images can be clinically useful. However, it is sometimes difficult to visualize the entire surface of an organ or tissue’s abnormalities using only 2D images. Additionally, 2D images can be difficult to interpret. Therefore, obtaining 3D volumes or snapshots of the tissue of interest can greatly help the diagnosis of diseases or abnormalities. Creating 3D volumes may be a very useful tool in clinical practices and is often used in obstetrics, cardiology, cancer imaging and image-guided surgeries. In order to generate 3D volumes, a set of 2D ultrasound images needs to be acquired first. The 2D images can be obtained using an imaging probe capturing the tissue from different angles. Then, a reconstruction algorithm is applied to the data to produce a 3D volume. This thesis focuses on the development and analysis of a 3D reconstruction algorithm that uses 2D ultrasound images acquired using a transducer that is scanned rotationally. The algorithm is validated using experimental data obtained from phantoms of known geometry. The results of this thesis show that the proposed algorithm can be used to reconstruct 3D volumes of the controlled phantom with high accuracy. While more experiments are needed to fully understand the limitations of the algorithm, these preliminary results suggest that, in the future, this algorithm may als

关键词： reconstruction algorithm Ultrasound Thesis

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A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem

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INVERSE PROBLEMS 2017年第3期33卷 035010-035010页

作者： Beretta, Elena Manzoni, Andrea Ratti, Luca Politecn Milan Dipartimento Matemat Piazza Leonardo da Vinci 32 I-20133 Milan Italy Ecole Polytech Fed Lausanne CMCS MATHICSE SB Stn 8 CH-1015 Lausanne Switzerland

In this paper we develop a reconstruction algorithm for the solution of an inverse boundary value problem dealing with a semilinear elliptic partial differential equation of interest in cardiac electrophysiology. The goal is the detection of small inhomogeneities located inside a domain Omega, where the coefficients of the equation are altered, starting from observations of the solution of the equation on the boundary partial derivative Omega. Exploiting theoretical results recently achieved in [13], we implement a reconstruction procedure based on the computation of the topological gradient of a suitable cost functional. Numerical results obtained for several test cases finally assess the feasibility and the accuracy of the proposed technique.

关键词： nonlinear elliptic equation inverse problem reconstruction algorithm

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Enhanced reconstruction algorithm for moire artifact suppression in Talbot-Lau x-ray imaging

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PHYSICS IN MEDICINE AND BIOLOGY 2018年第13期63卷 1-1页

作者： Hauke, Christian Anton, Gisela Hellbach, Katharina Leghissa, Martino Meinel, Felix G. Mertelmeier, Thomas Michel, Thilo Radicke, Marcus Sutter, Sven-Martin Weber, Thomas Ritschl, Ludwig Siemens Healthcare GmbH D-91301 Forchheim Germany FAU Erlangen Nuremberg Erlangen Ctr Astroparticle Phys D-91058 Erlangen Germany Ludwig Maximilians Univ Munchen Dept Radiol Univ Hosp D-80336 Munich Germany Univ Rostock Dept Diagnost & Intervent Radiol Med Ctr D-18057 Rostock Germany

Talbot-Lau x-ray imaging (TLXI) is an innovative and promising imaging technique providing information about the x-ray attenuation, scattering, and refraction features of objects. However, the method is susceptible to vibrations and system component imprecisions, which are inevitable in clinical and industrial practice. Those influences provoke grating displacements and hence errors in the acquired raw data, which cause moire artifacts in the reconstructed images. We developed an enhanced reconstruction algorithm capable of compensating these errors by adjusting the grating positions and thus suppressing the occurrence of moire artifacts. The algorithm has been developed with regard to a future application in medical practice. The capability of the algorithm is demonstrated on a medical data set of a human hand (post-mortem) acquired under clinical conditions using a pre-clinical TXLI prototype. It is shown that the algorithm reliably suppresses moire artifacts, preserves image contrast, does not blur anatomical structures or prevent quantitative imaging, and is executable on low-dose data sets. In addition, the algorithm runs autonomously without the need of interaction or rework of the final results. In conclusion, the proposed reconstruction algorithm facilitates the use of TLXI in clinical practice and allows the exploitation of the method's full diagnostic potential in future medical applications.

关键词： x-ray dark-field imaging x-ray phase-contrast imaging Talbot-Lau interferometry moire artifact radiography reconstruction algorithm artifact reduction

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3D surface topography imaging in SEM with improved backscattered electron detector: Arrangement and reconstruction algorithm

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ULTRAMICROSCOPY 2019年 207卷 112830-000页

作者： Borzunov, A. A. Karaulov, V. Y. Koshev, N. A. Lukyanenko, D. V. Rau, E. I. Yagola, A. G. Zaitsev, S. V. Lomonosov Moscow State Univ Dept Math Fac Phys Moscow 119991 Russia Lomonosov Moscow State Univ Dept Phys Elect Fac Phys Moscow 119991 Russia Skolkovo Inst Sci & Technol CDISE Moscow 121205 Russia

We propose a new SFS (shape from shading) technique for improved 3D surface reconstruction and imaging of relatively smooth surface topography using the scanning electron microscope (SEM). The new arrangement of backscattered electrons detector plates allows decreasing the initial energy of the electron probe, which makes this SEM technique to be suitable for usage on radiation-sensitive samples like biological tissues. Experiments show high effectiveness of the method, which improves both the gradient sensitivity of the signal and the signal to noise ratio.

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

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A super-resolution reconstruction algorithm for two-photon fluorescence polarization microscopy

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OPTICS COMMUNICATIONS 2021年 499卷 127116-127116页

作者： Xu, Dongdong Wang, Xiao Xu, Zhibing Zhou, Wenxia Yin, Jianhua Nanjing Univ Aeronaut & Astronaut Dept Biomed Engn Nanjing 210016 Jiangsu Peoples R China

Two-photon fluorescence polarization microscopy is widely used to monitor the orientation and structural information of biomolecules labeled by fluorescence dipoles, while suffering from the spatial resolution limitation. In this paper, we propose an effective reconstruction algorithm for two-photon fluorescence polarization microscopy to reconstruct the super-resolution image and obtain the finer orientation information of dipoles at corresponding super-resolution scale. First, a conventional statistic model is employed to characterize the orientation distribution of dipole-clusters. By combining the model with the two-photon microscope imaging theory, then an optimization model is proposed and the reconstruction algorithm is developed based on conjugate gradient least square method and applied to various samples. The reconstruction results demonstrate that the imaging resolution of 90 nm can be reached and the finer orientation distribution information of dipole-clusters at the corresponding resolution can be obtained. Finally, Monte Carlo analysis has been performed, which verifies that the algorithm has high accuracy in reconstructing the parameters of the finer orientation distribution of dipole-clusters. The analysis of sample noise proves that the reconstruction algorithm can be utilized to actual samples within the appropriate noise range.

关键词： Two-photon fluorescence polarization Super resolution Dipole orientation distribution reconstruction algorithm

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A least squares support vector regression coupled linear reconstruction algorithm for ECT

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FLOW MEASUREMENT AND INSTRUMENTATION 2021年 77卷 101874-101874页

作者： Xie, Huangjun Xia, Tao Tian, Zenan Zheng, Xudong Zhang, Xiaobin Zhejiang Univ Inst Refrigerat & Cryogen Hangzhou 310027 Peoples R China Zhejiang Univ Microsatellite Res Ctr Hangzhou 310027 Peoples R China

Linearization error of the simplified linear electrical capacitance tomography (ECT) model is one of the leading causes of ECT reconstruction errors. In this paper, the least squares support vector regression (LSSVR) is used to fit the correlation between the capacitance vector and the linearization error. And it is trained by the training samples of typical phase distributions. When removing the linearization error from equations derived by the linear model, the reconstruction problem becomes an exact linear inverse problem because the nonlinearity of ECT is completely included in the linearization error. Then a reconstruction algorithm combining the LSSVR and the Landweber iteration is proposed. Numerical results show that the proposed algorithm achieves significantly better reconstruction accuracies than the linear back projection and the Landweber algorithm for both the noise free and noisy cases. Compared with the Landweber algorithm, The image errors of the reconstructions are reduced by about 23%-68%, and the correlation coefficient increased by about 0.04-0.14. And the calculation time of the proposed algorithm for all the tested cases is about 0.4-0.6s, which makes it have the potential for real-time imaging. Static experimental results show that the reconstructions of the proposed algorithm have more accurate phase boundary shapes and fewer artifacts.

关键词： ECT Least squares support vector regression Linearization error Nonlinear inverse problem reconstruction algorithm

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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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Impact of the *** reconstruction algorithm on the interpretation of PET/CT images in patients with lymphoma

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EJNMMI RESEARCH 2020年第1期10卷 99-99页

作者： Wyrzykowski, Michal Siminiak, Natalia Kazmierczak, Maciej Ruchala, Marek Czepczynski, Rafal Affidea Poznan Dept Nucl Med Poznan Poland Poznan Univ Med Sci Dept Endocrinol & Metab Poznan Poland Poznan Univ Med Sci Dept Hematol & Bone Marrow Transplantat Poznan Poland

Background *** is a new Bayesian penalized-likelihood PET reconstruction algorithm. It has been documented that *** increases the SUVmax values of different malignant lesions. Purpose SUVmax values are crucial for the interpretation of PET/CT images in patients with lymphoma, particularly when the early and final responses to treatment are evaluated. The aim of the study was to systematically analyse the impact of the use of *** on the interpretation of PET/CT in patients with lymphoma. Methods A total of 280(18)F-FDG PET/CT scans in patients with lymphoma were performed for staging (sPET), for early treatment response (iPET), after the end of treatment (ePET) and when a relapse of lymphoma was suspected (rPET). Scans were separately reconstructed with two algorithms, *** and OSEM, and further compared. Results The stage of lymphoma was concordantly diagnosed in 69/70 patients with both algorithms on sPET. Discordant assessment of the Deauville score (p< 0.001) was found in 11 cases (15.7%) of 70 iPET scans and in 11 cases of 70 ePET scans. An upgrade from a negative to a positive scan by *** occurred in 3 cases (4.3%) of iPET scans and 7 cases (10.0%) of ePET scans. The results of all 70 rPET scans were concordant. The SUVmax values of the target lymphoma lesions measured with *** were higher than those measured with OSEM in 88.8% of scans. Conclusion Although the *** algorithm may alter the interpretations of PET/CT in only a small proportion of patients, we recommend using standard OSEM reconstruction for the assessment of treatment response.

关键词： PET CT Lymphoma Q Clear reconstruction algorithm Deauville criteria

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