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Journal of Biomedical Optics

Publication date: 2017-11-01
Volume: 22 14
Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society

Author:

Xie, Yijing
Thom, Maria ; Ebner, Michael ; Wykes, Victoria ; Desjardins, Adrien ; Miserocchi, Anna ; Ourselin, Sebastien ; McEvoy, Andrew W ; Vercauteren, Tom

Keywords:

Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Biochemical Research Methods, Optics, Radiology, Nuclear Medicine & Medical Imaging, Biochemistry & Molecular Biology, computational imaging, multispectral imaging, glioma resection, fluorescence imaging, OPTICAL COHERENCE TOMOGRAPHY, 5-AMINOLEVULINIC ACID, IN-VITRO, BRAIN, GLIOBLASTOMA, EXTENT, GRADE, Aminolevulinic Acid, Glioma, Humans, Neurosurgery, Optical Imaging, Photosensitizing Agents, Protoporphyrins, 0205 Optical Physics, 0903 Biomedical Engineering, 1113 Opthalmology and Optometry, 3212 Ophthalmology and optometry, 4003 Biomedical engineering, 5102 Atomic, molecular and optical physics

Abstract:

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.