Abstract
Use of second-order sensitivity information has been shown in the literature to yield faster convergence, better noise tolerance, and localization besides enhanced post-reconstruction analysis capabilities. In this paper, we derive adjoint-based second-order derivatives for -approximation-modeled fluorescence optical tomography. We modify the regularizing Levenberg–Marquardt method to use second-order sensitivity information through a predictor–corrector framework. Reconstruction studies presented for the fluorophore absorption coefficient in low as well as high scattering tissue-mimicking phantoms in both ideal and differential fluorophore-uptake settings show consistently superior noise tolerance and contrast recovery with the second-order scheme as compared to its first-order counterpart.
© 2019 Optical Society of America
Full Article | PDF ArticleMore Like This
Prabodh Kumar Pandey, Jampu Bharadwaj, Naren Naik, and Hari Om Aggrawal
J. Opt. Soc. Am. A 37(7) 1175-1192 (2020)
Nishigandha Patil and Naren Naik
J. Opt. Soc. Am. A 38(11) 1681-1695 (2021)
Wenjuan Ma, Wei Zhang, Xi Yi, Jiao Li, Linhui Wu, Xin Wang, Limin Zhang, Zhongxing Zhou, Huijuan Zhao, and Feng Gao
Appl. Opt. 51(36) 8656-8668 (2012)