检索结果-内蒙古大学图书馆

Fast parallel image reconstruction for cone-beam fdk algorithm

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2019年第10期31卷

作者： Zhang, Shunli Geng, Guohua Zhao, Jian Northwest Univ Sch Informat Sci & Technol Xian 710127 Shaanxi Peoples R China

fdk algorithm is a popular analytical reconstruction method for practical cone-beam CT scanners. Compared with iterative methods, the fdk algorithm is computationally efficient. However, the reconstruction speed remains a limitation for its application when dealing with high resolution images. In this paper, we propose a fast method for parallel implementation of the fdk algorithm by the use of multi-GPU. First, we optimize the backprojection operation of fdk according to the property of geometric symmetry and the correlation between adjacent slices. Then, we utilize the multi-thread technology to realize the parallel implementation of the optimized fdk algorithm on multi-GPU. Finally, we implement the proposed method on a multi-GPU platform. Numerical experiment shows that the proposed multi-GPU-based approach can reconstruct a 512 cubed volume in 1.9seconds from 360 projections of resolution 512 x512, which is 511 times faster than a traditional CPU-based approach and 5 times faster than a single GPU-based approach. In addition, the reconstruction results also indicate that the proposed method can maintain the same precision with traditional method.

关键词： computed tomography (CT) fdk algorithm image reconstruction multi-GPU multi-thread

来源：评论

学校读者我要写书评

暂无评论

Speeding Up the fdk algorithm for Tomographic Image Reconstruction in Multi-core Processors with Hyper-Threading Technology

引用

IEEE LATIN AMERICA TRANSACTIONS 2015年第1期13卷 359-364页

作者： Dominguez, J. S. de Assis, J. T. Pessoa, J. R. C. Univ Estado Rio de Janeiro UERJ Rio De Janeiro Brazil

At present work we propose the use of multi-core processors to parallelize and speed up the Feldkamp, David e Kress (fdk) algorithm for tomography image reconstruction. Are commented the bases of computed tomography and the image reconstruction process. Proposes a computational implementation of the algorithm and its parallelization. The serial and parallel versions of the algorithm are compared;and measured the speedup achieved by the parallel version to be tested with different amounts of cores. The parallel version got a speedup of 10.62 to be executed in a computer with two processors INTEL with 6 physical cores each one. When using multi-core processors from INTEL beyond the physical cores we have logical cores that can be used by the operating system, when analyzing the speed gains achieved by the use of logical cores we note that the gain is around 0.15 per logic core while the speedup achieved by physical cores is around 0.7 per core.

关键词： Computed Tomography fdk algorithm Multicore processors Parallel processing Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Image reconstruction method based on backprojection filtration algorithm in C-arm computed tomography

引用

SCIENTIFIC REPORTS 2025年第1期15卷 1-11页

作者： Wang, Xianchao Wu, Qilin Xu, Pan Lu, Zheng Chaohu Univ Sch Comp & Artifcial Intelligence Hefei 238024 Peoples R China

C-arm CT is movable and plays an important role in clinical surgical treatment. This paper proposes a new image reconstruction method for C-arm computed tomography (CT) using the advantages of backprojection filtration (BPF) algorithm. It first collects the projection data in a short scan, then rearranges the collected projection data into parallel projection data, and finally achieves the 3D image reconstruction in C-arm CT based on the two-step Hilbert transform method. At the same projection data acquisition frequency, compared with the commonly used fdk algorithm in C-arm CT, the advantage of the proposed method is that it only requires the projection data within a short scan, reducing radiation dose by nearly half. In addition, unlike the original BPF algorithm, the scanning angle integration interval in the backprojection of the proposed method is fixed, which improves the reconstruction efficiency and parallelism. Its reconstruction efficiency is nearly twice that of the fdk algorithm. The results of simulation and real data experiments have demonstrated the effectiveness of this proposed method.

关键词： C-arm CT Short scan Data rearrangement BPF algorithm fdk algorithm

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Parallel Processing Employed in Industrial Computed Tomography 1

引用

Conference and Exhibition on Non Destructive Evaluation, NDE 2020

作者： Acharya, Rajesh Kumar, Umesh Patankar, V.H. Kar, Soumitra Dash, Ashutosh Industrial Tomography & Instrumentation Section Radiochemistry & Isotope Group Bhabha Atomic Research Centre Mumbai400085 India Electronics Division Bhabha Atomic Research Centre Mumbai400085 India Security Electronics & Software Systems Division Bhabha Atomic Research Centre Mumbai400085 India Homi Bhabha National Institute Anushakti Nagar Mumbai400094 India

ISBN: (数字)9789811690938

ISBN: (纸本)9789811690921

Industrial computed tomography (ICT) using electromagnetic radiations in the form of gamma or X-rays is a non-destructive technique used in many non-medical applications. Cone-beam CT employing flat panel detectors (FPD) combined with volumetric reconstruction of projections produces three-dimensional representations of a scanned object. The property being represented is the linear attenuation coefficient or an approximate bulk density distribution within the region of interest. The computational cost of such three-dimensional reconstruction is high for computers especially when the projection matrix is larger and more in number. Typically, 2 k × 2 k projections are now common in the industrial domain with a typical pixel size of 200 µm. A 3D volume reconstruction involving approximately 1000 CT slices in such cases may take up to a few hours even on a workstation. The objective of this paper is to compare the performance of volume industrial CT algorithms when executed on GPU. We have implemented algorithms for 3D reconstruction of cone-beam computed tomography (CBCT) data on GPU. Feldkamp-Davis-Kress (fdk) method is used for the 3D reconstruction algorithm where the process of convolution and back-projection is being done on GPU. These two operations are chosen because they are the most time-consuming and repetitive in nature. The performance of the NVIDIA Quadro P6000 is evaluated by comparing execution time and image quality for Xeon workstation without GPU and workstation with GPU. We observe that improvement in reconstruction time is up to 53 times (5296%) for volume CT without deterioration of image quality. © 2022, Indian Society for Non-destructive Testing.

关键词： Computed tomography reconstruction fdk algorithm GPU Parallel processing

来源：评论

学校读者我要写书评

暂无评论

Effect of the number of projections in X-ray CT imaging on image quality and digital volume correlation measurement

引用

MEASUREMENT 2022年 194卷 1页

作者： Zhang, Xuanhao Sun, Lijuan Wang, Bo Pan, Bing Beihang Univ Inst Solid Mech Beijing 100191 Peoples R China Chinese Acad Sci Inst Mech Beijing 100190 Peoples R China

Digital volume correlation (DVC) quantifies internal 3D displacement and strain fields by correlating the volume images of a tested object acquired at different states. When using X-ray CT-based DVC, the number of projections is a key parameter that affects the acquisition time and quality of reconstructed volumetric images, and therefore the precision and temporal resolutions of DVC measurement. More projections result in high-quality volume images for DVC calculation but longer acquisition time and pronounced thermal drifts of the X-ray source. Few projections lead to quicker acquisition and fewer thermal drifts, but may degrade image quality and thus induce larger DVC measurement errors. Selecting an appropriate number of projections during CT imaging is therefore of practical significance for DVC measurement. To solve this dilemma, the effect of the number of projections on DVC measurements with X-ray CT is experimentally investigated in this work. First, numerically simulated speckle volume images with different numbers of projections were reconstructed by using fdk (Feldkamp) al-gorithm, and the influence of the number of projections on DVC measurement was analyzed. Then, real rescan and compression experiments performed on a copper foam sample were carried out to further study the effect of projection number on DVC measurements. Both simulation and real experiments show that more projections result in longer imaging time but higher quality volume image and DVC measurement. DVC measurement errors decrease with the increase of projections at different decline rates. Therefore, an appropriate number of pro-jections can be specified based on the results according to the requirements of DVC measurement precision and temporal resolution. For the specific X-ray CT device used in this real compression experiment, 36 ~ 60 pro-jections are suggested to balance measurement precision and temporal resolution, and more than 720 projections are necessary for pursuing higher

关键词： Digital volume correlation Number of projections X-ray computed tomography fdk algorithm

来源：评论

学校读者我要写书评

暂无评论

Using Graphics Processing Units to Parallelize the fdk algorithm for Tomographic Image Reconstruction

引用

Journal of Chemistry and Chemical Engineering 2012年第8期6卷 760-768页

作者： Joel Sancnchez Dominguez Luiz Femando de Oliveira Nilton Alves Junior Joaquim Teixeira de Assis Politechnical Institute of Rio de Janeiro State University Nova Friburgo-RJ 28625-570 Brazil Physics Institute of Rio de Janeiro State University Rio de Janeiro 20550-900 Brazil Brazilian center for physical research Rio de Janeiro 22290-180 Brazil

The paper presents the implementation of a parallel version of fdk （Felkamp, David e Kress） algorithm using graphics processing units. Discussion was briefly some elements the computed tomographic scan and fdk algorithm; and some ideas about GPUs （Graphics Processing Units） and its use in general purpose computing were presented. The paper shows a computational implementation of fdk algorithm and the process of parallelization of this implementation. Compare the parallel version of the algorithm with the sequential version, used speedup as a performance metric. To evaluate the performance of parallel version, two GPUs, GeForce 9400GT （16 cores） a low capacity GPU and Quadro 2000 （192 cores） a medium capacity GPU was reached speedup of 3.37.

关键词： Computed tomography images reconstruction fdk algorithm GPUs CUDA-C parallel processing.

来源：评论

学校读者我要写书评

暂无评论

Dual energy approach for cone beam artifacts correction

Dual energy approach for cone beam artifacts correction

引用

Conference on Medical Imaging - Physics of Medical Imaging

作者： Han, Chulhee Choi, Shinkook Lee, Changwoo Baek, Jongduk Yonsei Univ Sch Integrated Technol Seoul South Korea Yonsei Univ Yonsei Inst Convergence Technol Seoul South Korea

ISBN: (数字)9781510607101

ISBN: (纸本)9781510607095;9781510607101

Cone beam computed tomography systems generate 3D volumetric images, which provide further morphological information compared to radiography and tomosynthesis systems. However, reconstructed images by fdk algorithm contain cone beam artifacts when a cone angle is large. To reduce the cone beam artifacts, two-pass algorithm has been proposed. The two-pass algorithm considers the cone beam artifacts are mainly caused by high density materials, and proposes an effective method to estimate error images (i.e., cone beam artifacts images) by the high density materials. While this approach is simple and effective with a small cone angle (i.e., 5 - 7 degree), the correction performance is degraded as the cone angle increases. In this work, we propose a new method to reduce the cone beam artifacts using a dual energy technique. The basic idea of the proposed method is to estimate the error images generated by the high density materials more reliably. To do this, projection data of the high density materials are extracted from dual energy CT projection data using a material decomposition technique, and then reconstructed by iterative reconstruction using total-variation regularization. The reconstructed high density materials are used to estimate the error images from the original fdk images. The performance of the proposed method is compared with the two-pass algorithm using root mean square errors. The results show that the proposed method reduces the cone beam artifacts more effectively, especially with a large cone angle.

关键词： Cone beam artifacts dual energy CT two-pass algorithm high density materials fdk algorithm material decomposition iterative reconstruction total-variation (TV) regularization

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis of rolling element bearings based on fdk and Hilbert spectrum

Fault diagnosis of rolling element bearings based on FDK and...

引用

2016 IEEE Far East NDT New Technology & Application Forum

作者： Qianping Wu Wei Li School of Mechatronic Engineering China University of Mining and Technology

ISBN: (纸本)9781509026654

In this paper,a new approach based on a combination of the Hilbert spectrum and frequency domain kurtosis(fdk) is presented for diagnosing faults in rolling element *** method not only can filter out noisy signals,but also detect and characterize fault components in a *** using the Hilbert transform to envelope demodulation and removal of noise in frequency components,the fault feature information in a low frequency envelope signal can be ***,fdk is used to analyze the envelope *** to the fdk results,the scope of the filter band can be determined and the vibration signal can be *** proposed method is especially suited for detecting the fault characteristic frequency of rotating *** are conducted on a simulator to demonstrate the reliability and effectiveness of the proposed *** results show that the method is advantageous for extracting fault signals and reducing the influence of interfering components in the background noise.

关键词： Rolling element bearing Hilbert fdk algorithm Optimization

来源：评论

学校读者我要写书评

暂无评论

A geometric calibration method for cone beam CT system 8

A geometric calibration method for cone beam CT system

引用

8th International Conference on Digital Image Processing (ICDIP)

作者： Xiang Qian Wang Jue Cai Yufang Chongqing Univ Coll Automat Chongqing 400044 Peoples R China Chongqing Univ Educ Minist China ICT Res Ctr Key Lab Optoelect Technol & Syst Chongqing 400044 Peoples R China

ISBN: (纸本)9781510605039;9781510605046

fdk algorithm widely used in cone beam CT image reconstruction has strict requirements on the geometric alignment of cone beam CT system. In terms of the cone beam CT system, especially the micro-CT system, the actual installation accuracy is difficult to meet the requirements of micro level positioning, it inevitably leads to image distortion. To solve this kind of problem, this paper proposes a geometric calibration method based on the square-line phantom. Firstly, we acquire square-line phantom projection in a fixed direction under different voltages, frame frequency and exposure time, and analytically determine the calibration geometry of the cone beam system. Finally reconstruct image using modified fdk algorithm, which has well calibrated the geometric errors of cone beam CT system. The experiments demonstrate that the proposed method has good noise immunity, and the positioning accuracy can meet the needs of practical application.

关键词： cone-beam CT fdk algorithm geometric parameter geometric calibration

来源：评论

学校读者我要写书评

暂无评论

Optical 3D imaging and visualization of concealed objects 5

Optical 3D imaging and visualization of concealed objects

引用

Conference on Reflection, Scattering, and Diffraction from Surfaces V

作者： Berginc, G. Bellet, J. -B Berechet, I. Berechet, S. Thales Optron 2 Ave Gay Lussac F-78990 Elancourt France Univ Lorraine Inst Elie Cartan Lorraine F-57045 Metz France SISPIA 18 Allee Henri Dunant F-94300 Vincennes France

ISBN: (纸本)9781510603134;9781510603141

This paper gives new insights on optical 3D imagery. In this paper we explore the advantages of laser imagery to form a three-dimensional image of the scene. 3D laser imaging can be used for three-dimensional medical imaging and surveillance because of ability to identify tumors or concealed objects. We consider the problem of 3D reconstruction based upon 2D angle-dependent laser images. The objective of this new 3D laser imaging is to provide users a complete 3D reconstruction of objects from available 2D data limited in number. The 2D laser data used in this paper come from simulations that are based on the calculation of the laser interactions with the different meshed objects of the scene of interest or from experimental 2D laser images. We show that combining the Radom transform on 2D laser images with the Maximum Intensity Projection can generate 3D views of the considered scene from which we can extract the 3D concealed object in real time. With different original numerical or experimental examples, we investigate the effects of the input contrasts. We show the robustness and the stability of the method. We have developed a new patented method of 3D laser imaging based on three-dimensional reflective tomographic reconstruction algorithms and an associated visualization method. In this paper we present the global 3D reconstruction and visualization procedures.

关键词： Radon transform Reflective tomography fdk algorithm Maximum Intensity Projection 3D imaging Laser imaging concealed object identification

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：