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融合轮廓信息的光学参数成像系统

An optical parameter imaging system with profile information fusion
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摘要 如何快速获取具有复杂轮廓生物组织的光学参数图像,是现有光学成像技术面临的共同难题。本文提出并研制了一套融合轮廓信息的光学参数成像系统,首先采用傅里叶变换轮廓术获取生物组织的轮廓信息,然后依据光照度定律矫正生物组织表面各点入射光强的差异,最后基于空间频域成像原理获取生物组织的光学参数图像。实验结果表明,成像系统能够准确、快速获取生物组织的轮廓信息和光学参数图像。对于表面高度和角度分别在30 mm和40o以内的平板仿体,光学参数的最大成像误差分别从轮廓矫正前的46.27%和72.18%降至轮廓矫正后的6.89%和10.26%。人脸仿体实验和受试者脑前额叶成像试验证明了本文成像系统具备获取具有复杂轮廓生物组织图像的临床应用价值,同时本文提出的轮廓矫正方法或可与现有光学成像技术结合,减少生物组织表面轮廓对成像质量的影响。 There is a shared problem in current optical imaging technologies of how to obtain the optical parameters of biological tissues with complex profiles. In this work, an imaging system for obtaining the optical parameters of biological tissues with complex profile was presented. Firstly, Fourier transformation profilometry was used for obtaining the profile information of biological tissues, and then the difference of incident light intensity at different positions on biological tissue surface was corrected with the laws of illumination, and lastly the optical parameters of biological tissues were achieved with the spatial frequency domain imaging technique. Experimental results indicated the proposed imaging system could obtain the profile information and the optical parameters of biological tissues accurately and quickly. For the slab phantoms with height variation less than 30 mm and angle variation less than 40o, the maximum relative errors of the profile uncorrected optical parameters were 46.27% and 72.18%, while the maximum relative errors of the profile corrected optical parameters were 6.89% and 10.26%. Imaging experiments of a face-like phantom and a human’s prefrontal lobe were performed respectively, which demonstrated the proposed imaging system possesses clinical application value for the achievement of the optical parameters of biological tissues with complex profiles.Besides, the proposed profile corrected method can be used to combine with the current optical imaging technologies to reduce the influence of the profile information of biological tissues on imaging quality.
作者 李同心 董叶青 刘明 赵静 李明慧 李研哲 LI Tongxin;DONG Yeqing;LIU Ming;ZHAO Jing;LI Minghui;LI Yanzhe(Tianjin Anding Hospital,Tianjin 300222,P.R.China;Tianjin Mental Health Center,Tianjin 300222,P.R.China;Institute of Biomedical Engineering,Chinese Academy of Medical Sciences and Peking Union Medical College,Tianjin 300192,P.R.China;College of pharmaceutical Engineering of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,P.R.China)
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2022年第2期370-379,389,共11页 Journal of Biomedical Engineering
基金 国家自然科学基金(81774148,81973699)。
关键词 复杂轮廓 光学参数 光照度定律 空间频域成像 Complex profiles The optical parameters Laws of illumination Spatial frequency domain imaging
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  • 1姜琳.太阳能电池基本特性测定实验——一个与能源利用有关的综合设计性实验[J].大学物理,2005,24(6):52-55. 被引量:25
  • 2郑志敏,丁天怀.小孔阵列式太阳敏感器的光学系统设计[J].光学技术,2006,32(2):240-243. 被引量:7
  • 3清华大学等.原子核物理实验与方法[M].北京:原子能出版社,1982:159-160.
  • 4Chang Y K, Kang S J, Lee B H. High-accuracy image centroiding algorithm for CMOS-based digital sun sensors. IEEE Sensors 2007 Conference, Atlanta GA, 28-31 Oct, 2007. 329-336.
  • 5Chen F F, Feng J, Hong Z W. Digital sun sensor based on the vernier measuring principle. Meas Sci Technol, 2006, (17): 2494-2498.
  • 6Walraven R. Calculating the position of the sun. Sol Energy, 1978, 20:393-397.
  • 7Braun J E, Mitchell J C. Solar geometry for fixed and tracking surfaces. Sol Energy, 1983, 31:439-444.
  • 8Reda I, Andreas A. Solar position algorithm for solar radiation applications. Sol Energy, 2004, 76:577-589.
  • 9左大康,弓冉.中国太阳直接辐射、散射和太阳总辐射间的关系.地理学报,1962,28:175-186.
  • 10Briesmeister J F(ed). MCNP4C-A General Monte Carlo N-Particle Transport Code [ CP]. Los Alamos National Laboratory, LA- 13709-M, 2000 : 1-10.

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