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Medical and biological imaging|3 Article(s)
High total variation-based method for sparse-view photoacoustic reconstruction
Chen Zhang, and Yuanyuan Wang
We propose a novel method by combining the total variation (TV) with the high-degree TV (HDTV) to improve the reconstruction quality of sparse-view sampling photoacoustic imaging (PAI). A weighing function is adaptively updated in an iterative way to combine the solutions of the TV and HDTV minimizations. The fast iterative shrinkage/thresholding algorithm is implemented to solve both the TV and the HDTV minimizations with better convergence rate. Numerical results demonstrate the superiority and efficiency of the proposed method on sparse-view PAI. In vitro experiments also illustrate that the method can be used in practical sparse-view PAI. We propose a novel method by combining the total variation (TV) with the high-degree TV (HDTV) to improve the reconstruction quality of sparse-view sampling photoacoustic imaging (PAI). A weighing function is adaptively updated in an iterative way to combine the solutions of the TV and HDTV minimizations. The fast iterative shrinkage/thresholding algorithm is implemented to solve both the TV and the HDTV minimizations with better convergence rate. Numerical results demonstrate the superiority and efficiency of the proposed method on sparse-view PAI. In vitro experiments also illustrate that the method can be used in practical sparse-view PAI.
Chinese Optics Letters
- Publication Date: Oct. 28, 2014
- Vol. 12, Issue 11, 111703 (2014)
Region stepwise reconstruction method based on two source–detector-separation groups for reconstructing background optical properties of two-layered slab sample
Ming Liu, Mengyu Jia, Huijuan Zhao, and Feng Gao
The accuracy of the background optical properties has a considerable effect on the quality of reconstructed images in near-infrared functional brain imaging based on continuous wave diffuse optical tomography (CW-DOT). We propose a region stepwise reconstruction method in CW-DOT scheme for reconstructing the background absorption and reduced scattering coefficients of the two-layered slab sample with the known geometric information. According to the relation between the thickness of the top layer and source–detector separation, the conventional measurement data are divided into two groups and are employed to recon-struct the top and bottom background optical properties, respectively. The numerical simulation results demonstrate that the proposed method can reconstruct the background optical properties of two-layered slab sample effectively. The region-of-interest reconstruction results are better than those of the conventional simultaneous reconstruction method. The accuracy of the background optical properties has a considerable effect on the quality of reconstructed images in near-infrared functional brain imaging based on continuous wave diffuse optical tomography (CW-DOT). We propose a region stepwise reconstruction method in CW-DOT scheme for reconstructing the background absorption and reduced scattering coefficients of the two-layered slab sample with the known geometric information. According to the relation between the thickness of the top layer and source–detector separation, the conventional measurement data are divided into two groups and are employed to recon-struct the top and bottom background optical properties, respectively. The numerical simulation results demonstrate that the proposed method can reconstruct the background optical properties of two-layered slab sample effectively. The region-of-interest reconstruction results are better than those of the conventional simultaneous reconstruction method.
Chinese Optics Letters
- Publication Date: Oct. 21, 2014
- Vol. 12, Issue 11, 111702 (2014)
Effect of temperature on noninvasive blood glucose monitoring in vivo using optical coherence tomography
Ya Su, X. Steve, Zhuo Meng, Longzhi Wang, Haimin Yu, and Tiegen Liu
Noninvasive glucose monitoring (NIGM) techniques based on optical coherence tomography (OCT) are affected by several perturbing factors, including variation of tissue temperature. We first design a temperature control module integrated with an optical scanning probe to precisely control the temperature of skin tissues. We investigate the influence of temperature on NIGM with OCT by correlation analysis at different depths of in vivo human skin. On average, the relative changes in attenuation coefficient ( μt ) per 1 °C of temperature lead to 0.30 ± 0.097 mmol/L prediction error of blood glucose concentration. For improving the accuracy of NIGM, this temperature dependence must be taken into account. Noninvasive glucose monitoring (NIGM) techniques based on optical coherence tomography (OCT) are affected by several perturbing factors, including variation of tissue temperature. We first design a temperature control module integrated with an optical scanning probe to precisely control the temperature of skin tissues. We investigate the influence of temperature on NIGM with OCT by correlation analysis at different depths of in vivo human skin. On average, the relative changes in attenuation coefficient ( μt ) per 1 °C of temperature lead to 0.30 ± 0.097 mmol/L prediction error of blood glucose concentration. For improving the accuracy of NIGM, this temperature dependence must be taken into account.
Chinese Optics Letters
- Publication Date: Oct. 27, 2014
- Vol. 12, Issue 11, 111701 (2014)
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