학술논문
Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy.
Document Type
Article
Author
Source
Subject
*HEAD & neck cancer
*IMAGE fusion
*MICROSCOPY
*LYMPHOID tissue
*SQUAMOUS cell carcinoma
*DOSE-response relationship (Radiation)
*TISSUES
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Language
ISSN
0003-2654
Abstract
A regression-based fusion algorithm has been used to merge hyperspectral Fourier transform infrared (FTIR) data with an H&E image of oral squamous cell carcinoma metastases in cervical lymphoid nodal tissue. This provides insight into the success of the ratio of FTIR absorbances at 1252 cm−1 and 1285 cm−1 in discriminating between these tissue types. The success is due to absorbances at these two wavenumbers being dominated by contributions from DNA and collagen, respectively. A pixel-by-pixel fit of the fused spectra to the FTIR spectra of collagen, DNA and cytokeratin reveals the contributions of these molecules to the tissue at high spatial resolution. [ABSTRACT FROM AUTHOR]