Optimization Strategy of FMT Based on Optimistic Shadowed Sets
Fluorescence molecular tomography (FMT) was a promising optical molecular imaging tech-nique.The transmission of light through biological tissues resulted in a substantial number of spontaneous and intense scatterings.The propagation process exhibited a high degree of complexity,contributing to a pronounced ill-posedness in the reconstruction of fluorescence molecular tomography.In order to obtain accurate and stable reconstruction results,an optimization strategy for FMT based on optimistic shadowed sets was proposed.Firstly,an emotional decision,including optimistic and pessimistic decisions,was defined based on shadow sets.Then,an optimization strategy for FMT based on the optimistic decision was introduced.The strategy could convert fluorescence yield information into fuzzy information samples as the membership degree of the fluorescence target,and calculated the optimal threshold of current fuzzy information samples by shadow set.Optimistic decision was adopted for the division of samples.Finally,the true position of fluorescent targets was selected.The experimental results indicated that the algorithm proposed effectively improved the accuracy of FMT reconstruction compared with the unoptimized FMT re-construction algorithm.
万方数据
维普
