Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method

Optics Express
Haijing NiuTianzi Jiang

Abstract

Diffuse optical tomography (DOT) reconstructs the images of internal optical parameter distribution using noninvasive boundary measurements. The image reconstruction procedure is known to be an ill-posed problem. In order to solve such a problem, a regularization technique is needed to constrain the solution space. In this study, a projection-error-based adaptive regularization (PAR) technique is proposed to improve the reconstructed image quality. Simulations are performed using a diffusion approximation model and the simulated results demonstrate that the PAR technique can improve reconstruction precision of object more effectively. The method is demonstrated to have low sensitivity to noise at various noise levels. Moreover, with the PAR method, the detectability of an object located both at the center and near the peripheral regions has been increased largely.

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Citations

Mar 3, 2011·Medical Physics·Samir Kumar BiswasR M Vasu
Mar 10, 2010·Journal of Biomedical Optics·Krishna AgarwalXudong Chen
Mar 19, 2013·Medical & Biological Engineering & Computing·Xu CaoJing Bai
Jul 8, 2009·Optics Express·Leila AziziJean-Michel Tualle
Dec 11, 2013·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Ravi Prasad K Jagannath, Phaneendra K Yalavarthy
May 9, 2012·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Sree Harsha Katamreddy, Phaneendra K Yalavarthy

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