Hyperspectral imaging for cancer surgical margin delineation: Registration of hyperspectral and histological images

Guolan Lu, Luma Halig, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei

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

30 Scopus citations

Abstract

The determination of tumor margins during surgical resection remains a challenging task. A complete removal of malignant tissue and conservation of healthy tissue is important for the preservation of organ function, patient satisfaction, and quality of life. Visual inspection and palpation is not sufficient for discriminating between malignant and normal tissue types. Hyperspectral imaging (HSI) technology has the potential to noninvasively delineate surgical tumor margin and can be used as an intra-operative visual aid tool. Since histological images provide the ground truth of cancer margins, it is necessary to warp the cancer regions in ex vivo histological images back to in vivo hyperspectral images in order to validate the tumor margins detected by HSI and to optimize the imaging parameters. In this paper, principal component analysis (PCA) is utilized to extract the principle component bands of the HSI images, which is then used to register HSI images with the corresponding histological image. Affine registration is chosen to model the global transformation. A B-spline free form deformation (FFD) method is used to model the local non-rigid deformation. Registration experiment was performed on animal hyperspectral and histological images. Experimental results from animals demonstrated the feasibility of the hyperspectral imaging method for cancer margin detection.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
PublisherSPIE
ISBN (Print)9780819498298
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
EventMedical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, CA, United States
Duration: Feb 18 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9036
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego, CA
Period2/18/142/20/14

Keywords

  • Bspline free form deformation
  • Medical hyperspectral imaging
  • affine registration
  • head and neck cancer
  • surgical margin delineation

ASJC Scopus subject areas

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

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  • Cite this

    Lu, G., Halig, L., Wang, D., Chen, Z. G., & Fei, B. (2014). Hyperspectral imaging for cancer surgical margin delineation: Registration of hyperspectral and histological images. In Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling [90360S] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9036). SPIE. https://doi.org/10.1117/12.2043805