Journal
JOURNAL OF BIOMEDICAL OPTICS
Volume 22, Issue 11, Pages -Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.JBO.22.11.116006
Keywords
computational imaging; multispectral imaging; glioma resection; fluorescence imaging
Funding
- Health Innovation Challenge Fund [HICF-T4-275, WT 97914]
- Department of Health
- Wellcome Trust
- Wellcome/Engineering and Physical Sciences Research Council (EPSRC) [203145Z/16/Z, NS/A000050/1, WT101957, NS/A000027/1]
- EPSRC [EP/L016478/1, EP/P511262/1]
- Department of Health's National Institute for Health Research, University College London Hospitals Biomedical Research Centre funding scheme
- Epilepsy Society
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In high-grade glioma surgery, tumor resection is often guided by intraoperative fluorescence imaging. 5-aminolevulinic acid-induced protoporphyrin IX (PpIX) provides fluorescent contrast between normal brain tissue and glioma tissue, thus achieving improved tumor delineation and prolonged patient survival compared with conventional white-light-guided resection. However, commercially available fluorescence imaging systems rely solely on visual assessment of fluorescence patterns by the surgeon, which makes the resection more subjective than necessary. We developed a wide-field spectrally resolved fluorescence imaging system utilizing a Generation II scientific CMOS camera and an improved computational model for the precise reconstruction of the PpIX concentration map. In our model, the tissue's optical properties and illumination geometry, which distort the fluorescent emission spectra, are considered. We demonstrate that the CMOS-based system can detect low PpIX concentration at short camera exposure times, while providing high-pixel resolution wide-field images. We show that total variation regularization improves the contrast-to-noise ratio of the reconstructed quantitative concentration map by approximately twofold. Quantitative comparison between the estimated PpIX concentration and tumor histopathology was also investigated to further evaluate the system. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
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