ArticleBiomedical optics express2011
Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information.
Article in Biomedical optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multiscale local sparsity and prior learning algorithm for Cherenkov-excited luminescence scanned tomography reconstruction.Applied optics · 2025Article
- Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization.Biomedical optics express · 2019Article
- Comparison Study of Regularizations in Spectral Computed Tomography Reconstruction.Sensing and imaging · 2018Article
- Multimodal Image Reconstruction Using Supplementary Structural Information in Total Variation Regularization.Sensing and imaging · 2014Article
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Authors and funding
9 authors.
Funding
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Abstract
Fluorescence diffuse optical tomography (fDOT) is an imaging modality that provides images of the fluorochrome distribution within the object of study. The image reconstruction problem is ill-posed and highly underdetermined and, therefore, regularisation techniques need to be used. In this paper we use a nonlinear anisotropic diffusion regularisation term that incorporates anatomical prior information. We introduce a split operator method that reduces the nonlinear inverse problem to two simpler problems, allowing fast and efficient solution of the fDOT problem. We tested our method using simulated, phantom and ex-vivo mouse data, and found that it provides reconstructions with better spatial localisation and size of fluorochrome inclusions than using the standard Tikhonov penalty term.
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