Data fitting and image fine-tuning approach to solve the inverse problem in fluorescence molecular imaging
One of the most challenging problems in medical imaging is to ``see{''} a tumour embedded into tissue, which is a turbid medium, by using fluorescent probes for tumour labeling. This problem, despite the efforts made during the last years, has not been fully encountered yet, due to the non-linear nature of the inverse problem and the convergence failures of many optimization techniques. This paper