• Laser & Optoelectronics Progress
  • Vol. 60, Issue 12, 1211001 (2023)
Jinlan Li1, Zhaoyang Xie1, Guoqi Liu2, and Jian Zou1,*
Author Affiliations
  • 1School of Information and Mathematics, Yangtze University, Jingzhou 434020, Hubei, China
  • 2College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, Henan, China
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    DOI: 10.3788/LOP221095 Cite this Article Set citation alerts
    Jinlan Li, Zhaoyang Xie, Guoqi Liu, Jian Zou. Diffusion Optical Tomography Based on Convex-Nonconvex Finite Element Total Variation Regularization[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1211001 Copy Citation Text show less
    Modeling complex geometries using different meshes. (a) Cartesian mesh; (b) finite element mesh
    Fig. 1. Modeling complex geometries using different meshes. (a) Cartesian mesh; (b) finite element mesh
    Boundary measurement data acquisition system and original target (heteroplast) distribution. (a) Location of light source and detector in imaging area; (b) truth image
    Fig. 2. Boundary measurement data acquisition system and original target (heteroplast) distribution. (a) Location of light source and detector in imaging area; (b) truth image
    Reconstruction results of the three models at 0%-3% noise level. (a) Tikhonov regularization model; (b) FETV regularization model; (c) CNC-FETV regularization model
    Fig. 3. Reconstruction results of the three models at 0%-3% noise level. (a) Tikhonov regularization model; (b) FETV regularization model; (c) CNC-FETV regularization model
    Boxplots of the evaluation criteria values of the three models. (a) 0% noise level; (b) 1% noise level; (c) 2% noise level; (d) 3% noise level
    Fig. 4. Boxplots of the evaluation criteria values of the three models. (a) 0% noise level; (b) 1% noise level; (c) 2% noise level; (d) 3% noise level
    Jinlan Li, Zhaoyang Xie, Guoqi Liu, Jian Zou. Diffusion Optical Tomography Based on Convex-Nonconvex Finite Element Total Variation Regularization[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1211001
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