Wide-field spectrally resolved quantitative fluorescence imaging system: toward neurosurgical guidance in glioma resection

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
85 Downloads (Pure)

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.

Original languageEnglish
Article number116006
Pages (from-to)1-14
Number of pages14
JournalJournal of Biomedical Optics
Volume22
Issue number11
Early online date14 Nov 2017
DOIs
Publication statusPublished - 2017

Keywords

  • computational imaging
  • fluorescence imaging
  • glioma resection
  • multispectral imaging

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