Improve depth reconstruction for Cherenkov-Excited Luminescence Scanned Tomography

摘要

A spare reconstruction algorithm for Cherenkov-excited luminescence scanned tomography (CELST) is developed toimprove quantitative accuracy when luminescent probes locate in deeper tissue. The proposed algorithm incorporates thesparse a priori information of probes into the reconstruction. A fast iterative shrinkage threshold algorithm (FISTA) and3D block matching (BM3D) algorithm are jointly employed to recover the distribution of luminescent. Numericalsimulations demonstrate that the proposed method can result in more accurate quantitative reconstruction and increasedepth of detection as compared with conventional Tikhonov based reconstruction algorithm used in CELST.