Histologic models for optical tomography and spectroscopy of tissues

Rohit Bhargava; Brynmor J. Davis

doi:10.1117/12.810119

23 February 2009 Histologic models for optical tomography and spectroscopy of tissues

Rohit Bhargava, Brynmor J. Davis

Proceedings Volume 7174, Optical Tomography and Spectroscopy of Tissue VIII; 71742H (2009) https://doi.org/10.1117/12.810119
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

Histologic information is often the ground truth against which imaging technology performance is measured. Typically, this information is limited, however, due to the need to excise tissue, stain it and have the tissue section manually reviewed. As a consequence, histologic models of actual tissues are difficult to acquire and are generally prohibitively expensive. Models and phantoms for imaging development, hence, have to be simple and reproducible for concordance between different groups developing the same imaging methods but may not reflect tissue structure. Here, we propose a route to histologic information that does not involve the use of human review nor does it require specialized dyes or stains. We combine mid-infrared Fourier transform infrared (FT-IR) spectroscopy with imaging to record data from tissue sections. Attendant numerical algorithms are used to convert the data to histologic information. Additionally, the biochemical nature of the recorded information can be used to generate contrast for other modalities. We propose that this histologic model and spectroscopic generation of contrast can serve as standard for testing and design aid for tomography and spectroscopy of tissues. We discuss here the biochemical and statistical issues involved in creating histologic models and demonstrate the use of the approach in generating optical coherence tomography (OCT) images of prostate tissue samples.

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Rohit Bhargava and Brynmor J. Davis "Histologic models for optical tomography and spectroscopy of tissues", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71742H (23 February 2009); https://doi.org/10.1117/12.810119

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KEYWORDS

Tissues

Optical coherence tomography

Spectroscopy

FT-IR spectroscopy

Imaging spectroscopy

Absorption

Signal to noise ratio

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