Wide-field fluorescence molecular tomography with compressive sensing based preconditioning.

ABSTRACT: Wide-field optical tomography based on structured light illumination and detection strategies enables efficient tomographic imaging of large tissues at very fast acquisition speeds. However, the optical inverse problem based on such instrumental approach is still ill-conditioned. Herein, we investigate the benefit of employing compressive sensing-based preconditioning to wide-field structured illumination and detection approaches. We assess the performances of Fluorescence Molecular Tomography (FMT) when using such preconditioning methods both in silico and with experimental data. Additionally, we demonstrate that such methodology could be used to select the subset of patterns that provides optimal reconstruction performances. Lastly, we compare preconditioning data collected using a norma

SUBMITTER: Yao R 

PROVIDER: S-EPMC4679262 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature