Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1211001(2023)
Diffusion Optical Tomography Based on Convex-Nonconvex Finite Element Total Variation Regularization
Fig. 1. Modeling complex geometries using different meshes. (a) Cartesian mesh; (b) finite element mesh
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
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
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
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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
Category: Imaging Systems
Received: Mar. 23, 2022
Accepted: Jun. 13, 2022
Published Online: Jun. 5, 2023
The Author Email: Jian Zou (zoujian@yangtzeu.edu.cn)