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Image reconstruction algorithm for steady-state diffuse optical tomography with structural priori information

Deng Yong Zhang Xuan-Xuan Luo Zhao-Yang Xu Jun Yang Xiao-Quan Meng Yuan-Zheng Gong Hui Luo Qing-Ming

Image reconstruction algorithm for steady-state diffuse optical tomography with structural priori information

Deng Yong, Zhang Xuan-Xuan, Luo Zhao-Yang, Xu Jun, Yang Xiao-Quan, Meng Yuan-Zheng, Gong Hui, Luo Qing-Ming
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  • Received Date:  31 January 2012
  • Accepted Date:  27 April 2012
  • Published Online:  05 January 2013

Image reconstruction algorithm for steady-state diffuse optical tomography with structural priori information

  • 1. Wuhan National Laboratory for Optoelectronic, Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant No. 61078072), the National Science and Technology Support Program of China (Grant No. 2012BAI23B02), and International Science and Technology Cooperation and Exchange Projects of China (Grant No. 2010DFR30820).

Abstract: Diffuse optical tomography is a non-invasive and non-ionizing optical imaging technique with low cost, while it suffers from low spatial resolution and is very difficult to achieve quantitative measurement. In order to improve the resolution and reconstruct the optical coefficients accurately, in this paper, we present an image reconstruction algorithm based on finite element method for steady-state diffuse tomography with structural priori information. Imaging model is characterized by the steady-state diffuse equation. The spatial structural information from micro-CT is introduced into the inverse problem by the Laplace regularization and Levenberg-Marquardt method to solve the inverse problem where the Jacobian matrix is obtained by adjoint method. The simulation results show that the algorithm presented is able to obtain the accurate distribution of optical coefficients and increase the convergence speed of iteration evidently.

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