In glioma resection surgery, the detection of tumour is often guided by using intraoperative fluorescence imaging notably with 5-ALA-PpIX, providing fluorescent contrast between normal brain tissue and the gliomas tissue to achieve improved tumour delineation and prolonged patient survival compared with the conventional white-light guided resection. However, the commercially available fluorescence imaging system relies on surgeon’s eyes to visualise and distinguish the fluorescence signals, which unfortunately makes the resection subjective. In this study, we developed a novel multi-scale spectrally-resolved fluorescence imaging system and a computational model for quantification of PpIX concentration. The system consisted of a wide-field spectrally-resolved quantitative imaging device and a fluorescence endomicroscopic imaging system enabling optical biopsy. Ex vivo animal tissue experiments as well as human tumour sample studies demonstrated that the system was capable of specifically detecting the PpIX fluorescent signal and estimate the true concentration of PpIX in brain specimen.
Yijing Xie, Maria Thom, Anna Miserocchi, Andrew W. McEvoy, Adrien Desjardins, Sebastien Ourselin, and Tom Vercauteren, "Multi-scale spectrally resolved quantitative fluorescence imaging system: towards neurosurgical guidance in glioma resection," Proc. SPIE 10050, Clinical and Translational Neurophotonics, 1005002 (Presented at SPIE BiOS: January 28, 2017; Published: 27 February 2017); https://doi.org/10.1117/12.2250159.
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