Single-view XLCT imaging based on fast Bayesian matching pursuit

Yu-qing HOU; Xuan QU; Hai-bo ZHANG; Huang-jian YI; Xiao-wei HE

doi:10.3788/OPE.20172505.1159

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Single-view XLCT imaging based on fast Bayesian matching pursuit

Modern Applied Optics | 更新时间：2020-07-07

- Single-view XLCT imaging based on fast Bayesian matching pursuit
- Optics and Precision Engineering Vol. 25, Issue 5, Pages: 1159-1170(2017)
- 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.20172505.1159
  CLC： Q63;TP391
- Received：13 December 2016，
  
  Accepted：16 January 2017，
  
  Published：25 May 2017
- 稿件说明：
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Yu-qing HOU, Xuan QU, Hai-bo ZHANG, et al. Single-view XLCT imaging based on fast Bayesian matching pursuit[J]. Optics and precision engineering, 2017, 25(5): 1159-1170.
DOI：

Yu-qing HOU, Xuan QU, Hai-bo ZHANG, et al. Single-view XLCT imaging based on fast Bayesian matching pursuit[J]. Optics and precision engineering, 2017, 25(5): 1159-1170. DOI： 10.3788/OPE.20172505.1159.

摘要

为了缓解单视图X射线发光断层成像中出现的不适定性问题，提出了一种结合区域迭代收缩策略的快速贝叶斯匹配追踪方法。该方法将贝叶斯模型和贪婪算法相结合，可以从较少的观测值中高效快速地恢复稀疏信号。为了进一步提高重建精度，将快速贝叶斯追踪与区域迭代收缩策略结合，简化了自适应有限元方法在网格划分和系统矩阵构建方面的复杂性，在缩减因子迭代缩小可行区域的同时，缓解了X射线发光断层成像逆向题求解中的病态性。为评估该方法的有效性，设计了仿真实验与真实物理仿体实验。仿真结果表明，本文方法在加快重建速度的同时，显著提高了纳米发光目标的定位精度和发光产额的定量结果，它们分别为0.73 mm和0.79

g。真实物理仿体实验进一步验证了该方法在实际单视图X射线发光断层成像中的可行性。

Abstract

To relieve the ill-posedness of single-view x-ray luminescence computed tomography (XLCT)

a fast Bayesian matching pursuit (FBMP) method combined with iterative-shrinking permissible region (ISPR) strategy was put forward.In this method

Bayesian model was combined with the greedy algorithm to quickly and efficiently restore sparse signal from few observed values. To further improve the reconstruction accuracy

FBMP was combined with ISPR strategy to simplify the mesh generation and system matrix construction by self-adaptive finite element

downsizing the factor iterative-shrinking permissible region

meanwhile relieving the ill-posedness of XLCT in reverse solution. In order to verify the effectiveness of the method

a simulation and a real physical phantom experiment were performed. The simulation results show that the proposed method

while speeding up the reconstruction process

significantly improve the localization accuracy of nano luminescent target and quantitative result of luminescence yield

which are 0.73 mm and 0.79

g respectively. The physical phantom experiment further verifies the feasibility of this method in actual XLCT.

关键词

Keywords

references

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.

LI C Q, DI K, BEC J, et al .. X-ray luminescence optical tomography imaging:experimental studies[J]. Optics Letters , 2013, 38(13):2339-2341.

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

AHMAD M, PRATX G, BAZALOVA M, et al .. X-Ray luminescence and X-Ray fluorescence computed tomography:new molecular imaging modalities[J]. IEEE Access , 2014, 2:1051-1061.

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.

SEFERIS I, MICHAIL C, VALAIS I, et al .. Imaging performance of a thin Lu 2 O 3 :Eu nanophosphor scintillating screen coupled to a high resolution CMOS sensor under X-ray radiographic conditions:comparison with Gd 2 O 2 S:Eu conventional phosphor screen[J]. SPIE , 2014, 9033:90333T.

SUN C, PRATX G, CARPENTER C M, et al .. Synthesis and radioluminescence of PEGylated Eu 3+ -doped nanophosphors as bioimaging probes[J]. Advanced Materials , 2011, 23(24):H195-H199.

CONG W X, WANG G, KUMAR D, et al .. Practical reconstruction method for bioluminescence tomography[J]. Optics Express , 2005, 13(18):6756-6771.

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):617001.

JIN CH, GUO H B, HOU Y Q, et al .. Biolunminescence tomography reconstruction based on simplified spherical harmonics approximation model and sparse reconstruction by separable approximation[J]. Acta Optica Sinica , 2014, 34(6):617001.(in Chinese)

郭红波, 贺小伟, 侯榆青, 等.基于非凸稀疏正则的荧光分子断层成像[J].光学学报, 2014, 34(6):717001.

GUO H B, HE X W, HOU Y Q, et al .. Fluorescence molecular tomography based on nonconvex sparse regularization[J]. Acta Optica Sinica , 2014, 34(6):717001.(in Chinese)

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 H B, GENG G H, YI H J, et al .. Comparison between pencil-beam and cone-beam in XLCT system[J]. Opt. Precision Eng ., 2016, 24(5):986-992.(in Chinese)

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

CHEN D M, ZHU S P, CHEN X L, et al .. Quantitative cone beam X-ray luminescence tomography/X-ray computed tomography imaging[J]. Applied Physics Letters , 2014, 105(19):191104.

CHEN D M, ZHU S P, CAO X, et al .. X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method[J]. Biomedical Optics Express , 2015, 6(7):2649-2663.

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

LIU X, LIAO Q M, WANG H K, et al .. Excitation-resolved cone-beam X-ray luminescence tomography[J]. Journal of Biomedical Optics , 2015, 20(7):070501.

LIU X, WANG H K, XU M T, et al .. A wavelet-based single-view reconstruction approach for cone beam X-ray luminescence tomography imaging[J]. Biomedical Optics Express , 2014, 5(11):3848-3858.

SCHNITER P, POTTER L C, ZINIEL J. Fast bayesian matching pursuit[C]. Proceedings of Information Theory and Applications Workshop, IEEE , 2008:326-333.

董芳, 侯榆青, 余景景, 等.结合区域收缩和贪婪策略的荧光分子断层成像方法[J].激光与光电子学进展, 2016, 53(1):11701.

DONG F, HOU Y Q, YU J J, et al . Fluorescence molecular tomography via greedy method combined with region-shrinking strategy[J]. Laser & Optoelectronics Progress , 2016, 53(1):11701.(in Chinese)

KLOSE A D, NTZIACHRISTOS V, HIELSCHER A H. The inverse source problem based on the radiative transfer equation in optical molecular imaging[J]. Journal of Computational Physics , 2005, 202(1):323-345.

SCHWEIGER M, ARRIDGE S R, HIRAOKA M, et al .. The finite element method for the propagation of light in scattering media:boundary and source conditions[J]. Medical Physics , 1995, 22(11):1779-1792.

HE X W, LIANG J M, WANG X R, et al .. Sparse reconstruction for quantitative bioluminescence tomography based on the incomplete variables truncated conjugate gradient method[J]. Optics Express , 2010, 18(24):24825-24841.

PATI Y C, REZAⅡFAR R, KRISHNAPRASAD P S. Orthogonal matching pursuit:recursive function approximation with applications to wavelet decomposition[C]. Proceedings of 1993 Conference Record of the Twenty-Seventh Asilomar Conference on Signals, Systems and Computers, IEEE , 1995, 1:1-3.

MALLAT S G, ZHANG Z F. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing , 1993, 41(12):3397-3415.

DOGDAS B, STOUT D, CHATZIIOANNOU A F, et al .. Digimouse:a 3D whole body mouse atlas from CT and cryosection data[J]. Physics in Medicine and Biology , 2007, 52(3):577-587.

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