Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging

Guolan Lu, Xulei Qin, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Complete surgical removal of tumor tissue is essential for postoperative prognosis after surgery. Intraoperative tumor imaging and visualization are an important step in aiding surgeons to evaluate and resect tumor tissue in real time, thus enabling more complete resection of diseased tissue and better conservation of healthy tissue. As an emerging modality, hyperspectral imaging (HSI) holds great potential for comprehensive and objective intraoperative cancer assessment. In this paper, we explored the possibility of intraoperative tumor detection and visualization during surgery using HSI in the wavelength range of 450 nm - 900 nm in an animal experiment. We proposed a new algorithm for glare removal and cancer detection on surgical hyperspectral images, and detected the tumor margins in five mice with an average sensitivity and specificity of 94.4% and 98.3%, respectively. The hyperspectral imaging and quantification method have the potential to provide an innovative tool for image-guided surgery.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2015
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsRobert J. Webster, Ziv R. Yaniv
PublisherSPIE
ISBN (Electronic)9781628415056
DOIs
StatePublished - Jan 1 2015
Externally publishedYes
EventMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, United States
Duration: Feb 22 2015Feb 24 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9415
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CityOrlando
Period2/22/152/24/15

Keywords

  • Active contour
  • Glare removal
  • Hyperspectral imaging
  • Intraoperative tumor detection
  • Mutual information
  • Support vector machine
  • Wavelength optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging'. Together they form a unique fingerprint.

  • Cite this

    Lu, G., Qin, X., Wang, D., Chen, Z. G., & Fei, B. (2015). Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging. In R. J. Webster, & Z. R. Yaniv (Eds.), Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling [94151B] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9415). SPIE. https://doi.org/10.1117/12.2082284