Comparison between pencil-beam and cone-beam in XLCT system

ZHANG Hai-bo; GENG Guo-hua; YI Huang-jian; JIA Tao; HE Xiao-wei

doi:10.3788/OPE.20162405.0986

您当前的位置：

首页 >

文章列表页 >

Comparison between pencil-beam and cone-beam in XLCT system

更新时间：2020-08-13

- Comparison between pencil-beam and cone-beam in XLCT system
- Optics and Precision Engineering Vol. 24, Issue 5, Pages: 986-992(2016)
- 作者机构：
  
  西北大学信息科学与技术学院,陕西西安,710127
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162405.0986
  CLC： Q-333;R814.42
- Received：24 December 2015，
  
  Revised：07 February 2016，
  
  Published：25 May 2016
- 稿件说明：
移动端阅览
张海波, 耿国华, 易黄建等. X射线发光断层成像中笔束与锥束激发性能的对比[J]. 光学精密工程, 2016,24(5): 986-992

ZHANG Hai-bo, GENG Guo-hua, YI Huang-jian etc. Comparison between pencil-beam and cone-beam in XLCT system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 986-992
张海波, 耿国华, 易黄建等. X射线发光断层成像中笔束与锥束激发性能的对比[J]. 光学精密工程, 2016,24(5): 986-992 DOI： 10.3788/OPE.20162405.0986.

ZHANG Hai-bo, GENG Guo-hua, YI Huang-jian etc. Comparison between pencil-beam and cone-beam in XLCT system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 986-992 DOI： 10.3788/OPE.20162405.0986.

摘要

研究了X射线发光断层成像(XLCT)的激发性能

对笔束XLCT和锥束XLCT等两种主要的成像系统在不同激发方式下的扫描时间、重建精度、分辨率及重建时间等性能指标进行了对比研究。设计的对比实验中

笔束XLCT系统的扫描时间为436 s

锥束XLCT系统的扫描时间仅为10 s。目标实验中

笔束XLCT系统的重建时间为82.57 s

重建误差为0.47 mm;锥束XLCT系统的重建时间为172.63 s

重建误差为1.59 mm。在边距分别为1 mm和0.5 mm的两组双目标实验中

笔束XLCT系统均能准确分辨

重建误差均在0.8 mm以内

而锥束XLCT系统对边距为1 mm的双目标重建误差均达到了1.7 mm左右;当目标边距缩小到0.5 mm时

其已无法进行全域分辨。实验结果表明:相比于锥束XLCT

笔束XLCT利用自身的"激发先验"优势具有较短的重建时间、较高的定位能力和分辨率

但是其系统扫描时间要明显大于锥束XLCT。本文的工作为选择合适的XLCT成像系统提供了参考。

Abstract

The excitation characteristics of X-ray Luminescence Computed Tomography (XLCT) was researched. Two kinds of imaging systems for pencil-beam XLCT and cone-beam XLCT were introduced and their respective performance indexes such as the excitation schemes

scanning costs

reconstruction efficiency

spatial resolving capacity and reconstruction costs were compared and analyzed in detail. The comparison experiment shows that the scanning time of pencil-beam XLCT is 436 s but that of the cone-beam XLCT is only 10 s. In the experiment for a single target

the reconstruction time and location error of pencil-beam XLCT are 82.57 s and 0.47 mm

and those of the cone-beam XLCT are 172.63 s and 1.59 mm

respectively. In the two group experiments for double targets with edge distances of 1 mm and 0.5 mm respectively

the pencil-beam XLCT can accurately distinguish all targets with a reconstruction error less than 0.8 mm; however

the reconstruction error of the cone-beam XLCT reaches to 1.7 mm for the double targets with the edge distance of 1 mm and can not distinguish the targets at the edge distance to be reduced to 0.5 mm. Experimental results demonstrate that compared with the cone-beam XLCT

the pencil-beam XLCT has better performance in reconstruction time

location accuracy and spatial resolving due to its "excitation priors"

but has obviously poor capability on the system scanning. This paper provides a valuable reference for researchers on the selection of appropriate XLCT systems.

关键词

Keywords

references

WEISSLEDER R, PITTET J M. Imaging in the era of molecular oncology[J].Nature,2008,452:580-589.

金晨,郭红波,侯榆青,等. 基于变量分离近似稀疏重构和简化球谐近似的生物发光断层成像[J]. 光学学报,2014, 34(6):189-197. JIN CH,GUO H B,HOU Y Q,et al..Bioluminescence tomography reconscruction based on simplified spherical harmonics approximation model and sparse reconstruction by separable approximation[J].Acta Optica Sinca,2014,34(6):189-197. (in Chinese)

YU J J,CHENG J X,HOU Y Q,et al..Sparse reconstruction for fluorescence molecular tomography via a fast iterative algorithm[J].Journal of Innovative Optical Health Sciences,2014,7(3):488-488.

周晓青,王倩,范颖,等. 面向大数据量的扩散光学层析成像快速重建算法[J]. 光学学报,2013,33(4):1-10. ZHOU X Q,WANG Q,FAN Y,et al..Fast reconstruction scheme of diffuse optical tomography for dense sampling dataset[J].Acta Optica Sinca,2013,33(4):1-10. (in Chinese)

PRATX G,CARPENTER C M,SUN C,et al..X-ray luminescence computed tomography via selective excitation:a feasibility study[J].IEEE Transactions on Medical Imaging,2010,29(12):1992-1999.

CONG W,SHEN H,WANG G.Spectrally resolving and scattering-compensated X-ray luminescence/fluorescence computed tomography[J].Journal of Biomedical Optics,2011,16(6),:066014-1-7.

LI C,ANULFO M D,SIMON R C,et al..Numerical simulation of X-ray luminescence optical tomography for small-animal imaging[J].Journal of Biomedical Optics,2011,19(4):046002-1-10.

杨宏成,高欣,张涛. 应用投影收缩的压缩感知锥束CT短扫描重建[J]. 光学精密工程,2014,22(3):770-778. YANG H CH,GAO X,ZHANG T.Compressing-sensing cone-beam CT short-scan reconstruction based on projection-contraction[J].Opt. Precision Eng., 2014,22(3):770-778. (in Chinese)

CHEN D M,ZHU S,YI H J,et al..Cone beam X-ray luminescence computed tomography:a feasibility study[J].Medical Physics,2013,40(3):031111-1-14.

LIU X,LIAO Q,WANG H.Fast X-ray luminescence computed tomography imaging[J].IEEE Transactions on Biomedical Engineering,2014,61(6):1621-1627.

PRATX G, CARPENTER C M,SUN C,et al..Tomographic molecular imaging of X-ray excitable nanoparticles[J]. Optics Letters,2010,35(20):3345-3347.

贺小伟. 生物发光断层成像中光源重建逆问题研究[D]. 西安:西安电子科技大学,2011. HE X W.Research on the Inverse Problem for Source Reconstruction in Bioluminecescence Tomography[D].Xi'an:Xidian University,2011. (in Chinese)

Views

438

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Single-view XLCT imaging based on fast Bayesian matching pursuit

X-ray luminescence computed tomography based on improved spectral projected gradient algorithm

Related Author

Yu-qing HOU

Xuan QU

Hai-bo ZHANG

Huang-jian YI

Xiao-wei HE

Tao JIA

Huang-jian YI

Xiao-wei HE

Related Institution

No data

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰