Open AccessShape-parameterized diffuse optical tomography holds promise for sensitivity enhancement of fluorescence molecular tomography
Author(s) -
Linhui Wu,
Wenbo Wan,
Xin Wang,
Zhongxing Zhou,
Jiao Li,
Limin Zhang,
Huijuan Zhao,
Feng Gao
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.5.003640
Subject(s) - diffuse optical imaging , voxel , tomography , optical tomography , inverse problem , parameterized complexity , computer science , robustness (evolution) , sensitivity (control systems) , optical coherence tomography , optics , image resolution , artificial intelligence , computer vision , biological system , physics , algorithm , mathematics , chemistry , mathematical analysis , biochemistry , electronic engineering , biology , gene , engineering
A fundamental approach to enhancing the sensitivity of the fluorescence molecular tomography (FMT) is to incorporate diffuse optical tomography (DOT) to modify the light propagation modeling. However, the traditional voxel-based DOT has been involving a severely ill-posed inverse problem and cannot retrieve the optical property distributions with the acceptable quantitative accuracy and spatial resolution. Although, with the aid of an anatomical imaging modality, the structural-prior-based DOT method with either the hard- or soft-prior scheme holds promise for in vivo acquiring the optical background of tissues, the low robustness of the hard-prior scheme to the segmentation error and inferior performance of the soft-prior one in the quantitative accuracy limit its further application. We propose in this paper a shape-parameterized DOT method for not only effectively determining the regional optical properties but potentially achieving reasonable structural amelioration, lending itself to FMT for comparably improved recovery of fluorescence distribution.