Image-guided Raman spectroscopy probe-tracking for tumor margin delineation.
- Resource Type
- Academic Journal
- Authors
- Horgan CC; Imperial College London, Department of Materials, London, United Kingdom.; Imperial College London, Department of Bioengineering, London, United Kingdom.; Imperial College London, Institute of Biomedical Engineering, London, United Kingdom.; Bergholt MS; Imperial College London, Department of Materials, London, United Kingdom.; Imperial College London, Department of Bioengineering, London, United Kingdom.; Imperial College London, Institute of Biomedical Engineering, London, United Kingdom.; Thin MZ; University College London, Centre for Advanced Biomedical Imaging, London, United Kingdom.; Nagelkerke A; Imperial College London, Department of Materials, London, United Kingdom.; Imperial College London, Department of Bioengineering, London, United Kingdom.; Imperial College London, Institute of Biomedical Engineering, London, United Kingdom.; Kennedy R; King's College London, Guy's and St Thomas' NHS Foundation Trust, Oral/Head and Neck Pathology Labor, United Kingdom.; Kalber TL; University College London, Centre for Advanced Biomedical Imaging, London, United Kingdom.; Stuckey DJ; University College London, Centre for Advanced Biomedical Imaging, London, United Kingdom.; Stevens MM; Imperial College London, Department of Materials, London, United Kingdom.; Imperial College London, Department of Bioengineering, London, United Kingdom.; Imperial College London, Institute of Biomedical Engineering, London, United Kingdom.
- Source
- Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society Country of Publication: United States NLM ID: 9605853 Publication Model: Print Cited Medium: Internet ISSN: 1560-2281 (Electronic) Linking ISSN: 10833668 NLM ISO Abbreviation: J Biomed Opt Subsets: MEDLINE
- Subject
- Language
- English
Significance: Tumor detection and margin delineation are essential for successful tumor resection. However, postsurgical positive margin rates remain high for many cancers. Raman spectroscopy has shown promise as a highly accurate clinical spectroscopic diagnostic modality, but its margin delineation capabilities are severely limited by the need for pointwise application.
Aim: We aim to extend Raman spectroscopic diagnostics and develop a multimodal computer vision-based diagnostic system capable of both the detection and identification of suspicious lesions and the precise delineation of disease margins.
Approach: We first apply visual tracking of a Raman spectroscopic probe to achieve real-time tumor margin delineation. We then combine this system with protoporphyrin IX fluorescence imaging to achieve fluorescence-guided Raman spectroscopic margin delineation.
Results: Our system enables real-time Raman spectroscopic tumor margin delineation for both ex vivo human tumor biopsies and an in vivo tumor xenograft mouse model. We then further demonstrate that the addition of protoporphyrin IX fluorescence imaging enables fluorescence-guided Raman spectroscopic margin delineation in a tissue phantom model.
Conclusions: Our image-guided Raman spectroscopic probe-tracking system enables tumor margin delineation and is compatible with both white light and fluorescence image guidance, demonstrating the potential for our system to be developed toward clinical tumor resection surgeries.