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

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

doi:10.1117/12.2043805

12 March 2014 Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images

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

Author Affiliations +

Proceedings Volume 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling; 90360S (2014) https://doi.org/10.1117/12.2043805
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

Guolan Lu, Luma Halig, Dongsheng Wang, Zhuo Georgia Chen, and Baowei Fei "Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90360S (12 March 2014); https://doi.org/10.1117/12.2043805

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