fdk
- abbr.前甲板
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Fast Algorithm 3-D CT Based on FDK Method
基于FDK法的三维CT快速计算方法
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The researches of this dissertation are base on FDK algorithm .
本文所作研究均基于FDK算法进行展开。
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Parallel Implementation of Cone-Beam CT Image Reconstruction using FDK Algorithm on the Cluster System
基于集群系统的锥束CT重建FDK算法并行研究
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Modified FDK cone-beam reconstruction algorithm based on relationship of rotation angle increment
基于转角增量关系的FDK锥束重建改进算法
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FDK Reconstruction Algorithm Based on Cluster Parallelization and Instruction Optimization
基于集群并行及指令优化的FDK重建算法
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The Design of FDK - 1 Controller for Automatic Breaker
FDK&1型自动分段器控制器的设计
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Two-level parallelism of cone-beam CT image reconstruction using the FDK algorithm
锥束CT重建FDK算法的两级并行计算研究
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Segmentation short scan FDK reconstruction algorithm for cone-beam CT
锥束CT的分区短扫描FDK重建算法
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Last I realization a practical cone-beam algorithm FDK algorithm used on 16-rows or above MSCT .
并且作为公司实用的一个预研子项目实现了一种适用于16排以上三维锥束螺旋CT的通用FDK算法。
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Super-resolution Reconstruction Based on the Harmonic Mapping Constraint Cone-beam pseudo lambda tomography under FDK framework
调和映射约束下的超分辨率图像重建基于FDK框架的锥形束Pseudo-LT优质重建
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The Charm and the Change of Jingdezhen Fdk Cyanic Art
景德镇民间青花的魅力与变革
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The reconstruction results of numerical simulation and real data confirm FDK algorithm can reconstruct the local area of flat object well under the condition . 5 .
数字仿真和真实数据的重建结果证实了在这个条件下FDK算法可以很好地实现扁平状物体的局部重建。
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The FDK algorithm is token as the 3 D reconstruction algorithm , which can ignore the effect of cone-angle .
系统软件部分包括投影图像预处理和三维重建算法的实现。三维重建采用现在锥形光束的主流算法&FDK算法,该算法可以解决中小锥角效应对重建结果的影响。
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It is found that if the thickness and the horizontal length of local area satisfy some conditions , accurate reconstruction can be carried out using efficient FDK algorithm .
通过研究发现如果扁平物体的厚度和局部区域在水平方向上的长度满足一定条件,简洁、高效的FDK算法可以处理该局部重建问题。
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Computer-simulated studies show that the proposed algorithms effectively reduce the artifact of the intensity drop inherent to the FDK algorithm at appropriate or big cone angle .
Shepp-Logan模型的仿真实验结果表明在适中或较大锥角情况下,改进算法显著改善了FDK算法所存在的锥向衰减伪像。
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During reconstruction , the extended helical cone-beam FDK algorithm ( called half-covered helical FDK for short ) is developed .
重建时,利用推广的标准螺旋锥束FDK算法(简称偏心FDK算法)进行重建。
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Anlysis shows that the scan field of view along the horizon can be improved no less than 80 % compared with cone-beam 3D-CT based on FDK and circular orbit scan mode .
分析表明,其水平方向的有效扫描视野比基于FDK的圆轨道锥束扫描三维CT提高了80%以上。
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It is shown that the speed of the GPU-based fast 3D image reconstruction methods that are introduced in this dissertation , promotes greatly compared with the original FDK method and it can satisfy the practical requirements .
经实例验证,论文所提出的快速图像重建算法较原始FDK重建算法有大幅度速度提升,取得了比较满意的结果。
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FDK method is the most common kind of 3D image reconstruction algorithm in cone beam CT at present , which is based on a scanning circle and reconstructs images satisfactorily in the small cone angle case .
目前锥束CT普遍采用FDK算法,该算法基于单圆源轨,在小锥角下取得较好的重建效果。
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This paper presents a geometric parameter lookup table method for fast implementation of the FDK ( Feldkamp-Davis-Kress ) algorithm using periodic functions , i.e. , the backprojection addresses and weights are calculated in advance .
用几何参数表方法替代FDK(Feldkamp-Davis-Kress)算法可以避免由于周期函数的存在而产生的大量重复计算。
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The reconstruction algorithm can be regarded as generalized expression of FDK ( Fieldkamp-Davis-Kress ) algorithm , which means that when the oblique angle is 90 °, the algorithm is as same as FDK algorithm .
该重建算法为FDK算法的推广,在倾斜角90°时,该算法即为FDK算法。
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In 3D-ICT testing of large component , limited by the length of detector , the component cannot be covered by the cone-beam completely , so conventional FDK algorithm could not execute the three-dimensional reconstruction for the component .
对于较大尺寸构件的锥束射线3D-ICT检测,由于受探测器尺寸的限制,锥束射线无法完全覆盖待检构件,在一次回转扫描的情况下无法利用传统的FDK算法对构件进行三维重楚。
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For this purpose , an template matching based image stitching method is proposed in this thesis to further process the data after preprocessing and geometric correction . Furthermore , FDK algorithm is used to reconstruct the three-dimensional image of the object .
本文在对数据进行预处理和几何校正之后,重点研究了基于模板匹配的图像拼接的方法,并在完成拼接之后利用FDK算法对物体的结构信息进行三维重建及后处理。
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Among all kinds of reconstruction-algorithms , approximate algorithms are widely used in practice . Among various based in filtered back-projection algorithms , FDK ( Feldkamp - Davis-Kress ) algorithm is the mainstream methods all the times .
在各种重建算法中,近似重建算法在实际中应用较广泛,其中基于滤波反投影的FDK(Feldkamp-Davis-Kress)近似算法是实际应用中的主流算法。
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So the FDK approximation principle of the point-focus X-ray source is extended to line-focus X-ray sources . An algorithm for the reconstruction of circular orbit cone-beam scan to the line-focus X-ray source was deduced .
为此,将上述点源FDK近似原理拓展到线源情况,推导了线源圆轨道锥束扫描3D-CT重建算法。
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Considering the memory performance ( data transmission and access ) still influences execution speed of the algorithms greatly , the proposed parallel FFT and FDK reconstruction methods will have better effect if new kind of GPU can improve the efficiency of the memory performance .
考虑到存储器性能(数据传输和访问)仍对算法执行速度影响较大,如果新的GPU能够提升储器的效率,那么我们在并行FFT计算和FDK重建算法加速方面将会有更好的效果。
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On the analyzing of the traditional three-dimensional CT reconstruction , based on the circular scanning , combined with FDK algorithm , a new 3D industrial CT reconstruction algorithm to directly reconstruct the characteristics was brought forward , and the feasibility of the new algorithm was theoretically deduced .
在分析研究传统三维CT重建算法的基础上,以圆轨迹扫描方式为背景,结合FDK算法,提出一种三维特征重建算法,并从理论的角度进行了推导。
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FDK three-dimensional computed tomography ( 3D-CT ) reconstruction algorithm for the circular orbit cone-beam scan with the point-shaped X-ray source is more widely accepted when compared with other types . It has high reconstruction speed and accuracy within cone-beam angle of 10 ° .
基于点X射线源圆轨道锥束扫描的FDK近似3D-CT重建算法重建速度快,在10°锥角内重建精度高,因此在工程上得到广泛应用。
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This paper describes the parallel implementation of 3D-CT reconstruction using MPI ( Message Processing Interface ) on SMP workstation and clusters , it also analyzes FDK algorithm and parallel implementation . The experiments improve the speed of the 3D-CT reconstruction apparently and get high speed-up and efficiency .
分析了三维CT近似重建FDK快速算法理论基础,采用基于MPI并行环境地并行实现方案实现三维CT的并行重建,得到比较理想的重建时间结果和比较理想的加速比与效率。