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The big vision cone-beam CT image reconstruction GPU method

Author: ChenDeFeng
Tutor: ZhangPeng
School: Capital Normal University
Course: Applied Computer Technology
Keywords: Cone-beam CT Large field of vision GPU Filtered back projection (BPF)
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 214
Quote: 3
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Abstract


Computed tomography as a nondestructive testing technology has been applied in many fields . Compared with the traditional two-dimensional CT , cone-beam CT ray high utilization , short scan time as well as the direction of the Z-axis resolution of the many advantages to become one of the hot topics of today 's international CT research . Cone-beam CT there are still some problems to limit its application , including imaging small field of view and reconstruction slow . In order to expand the vision cone beam imaging field , with a spiral cone-beam scan mode and bias cone-beam scan mode , were used to expand the the axial vision and lateral vision . In order to improve the reconstruction speed , people using hardware acceleration means , including the use of the FPGA, Cell processors and graphics processors ( GPU ) . Has exceeded the central processor ( CPU ) in the growth rate of the computing capacity of the graphic processor , the floating-point computation capability leading the central processor one to two orders of magnitude . At the same time , the graphics processor programmable function draw high-speed and parallel pipeline and developed in recent years to provide a good running platform for general purpose computing , which makes the GPU - based general-purpose computing research focus attention . Instruction execution mode of the GPU and CPU to GPU-based general-purpose computing must reorganize data structures and algorithm steps , in order to take full advantage of the GPU parallel processing architecture brings the performance advantages . In this paper, the several bias cone-beam scan mode , the use of GPU Computing technology to achieve a wide field cone-beam CT reconstruction algorithm , quickly expanding the horizontal field of view of the cone-beam CT . The algorithm is a BPF type reconstruction algorithm , to avoid the data rearrangement, and therefore does not reduce the image accuracy . Algorithm to optimize the texture is stored , saving memory bandwidth , more suitable for multiple bias the reconstruction of the scan mode , the algorithm runs faster than running on the CPU speed by two orders of magnitude faster .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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