Combining energy and Laplacian regularization to accurately retrieve the depth of brain activity of diffuse optical tomographic data
AM Chiarelli, EL Maclin, KA Low… - Journal of …, 2016 - spiedigitallibrary.org
Diffuse optical tomography (DOT) provides data about brain function using surface
recordings. Despite recent advancements, an unbiased method for estimating the depth of …
recordings. Despite recent advancements, an unbiased method for estimating the depth of …
Diffusion optical tomography reconstruction based on convex–nonconvex graph total variation regularization
J Li, Z Xie, G Liu, L Yang, J Zou - Mathematical Methods in the …, 2023 - Wiley Online Library
Graph total variation (GTV) is a powerful regularization tool for diffuse optical tomography
(DOT) reconstruction since it combines the powerful representation ability of graph and the …
(DOT) reconstruction since it combines the powerful representation ability of graph and the …
[PDF][PDF] 基于凸非凸有限元全变差正则的扩散光学层析成像
李金兰， 谢朝阳， 刘国奇， 邹健 - Laser & Optoelectronics …, 2023 - researching.cn
摘要为避免扩散光学层析成像中L1 正则项带来的有偏估计问题, 提出一种基于凸非凸有限元的
全变差(CNC-FETV) 正则重构模型. 首先, 应用有限元方法将求解域剖分为有限个三角形 …
全变差(CNC-FETV) 正则重构模型. 首先, 应用有限元方法将求解域剖分为有限个三角形 …