In vivo analysis of burns in a mouse model using spectroscopic optical coherence tomography

Abstract

Spectroscopic analysis of biological tissues can provide insight into changes in structure and function due to disease or injury. Depth resolved spectroscopic measurements can be implemented for tissue imaging using optical coherence tomography (OCT). Here spectroscopic OCT is applied to in vivo measurement of burn injury in a mouse model. Data processing and analysis methods are compared for their accuracy. Overall accuracy in classifying burned tissue was found to be as high as 91%, producing an area under the curve of a receiver operator characteristic curve of 0.97. The origins of the spectral changes are identified by correlation with histopathology.

Deep imaging of absorption and scattering features by multispectral multiple scattering low coherence interferometry

“…7(a). The power-law exponents of both the burned and healthy phantom (b = −1.3 and 1.2, respectively) are similar to those reported in earlier studies [19,20], which showed b = −1.4 and 1.8 for burned and healthy tissue when fit across the same bandwidth (770-830 nm) used in this study. Figure 7(b) shows color coded images of layered phantoms in which each pixel in the full cross-sectional image was color coded based on the power-law exponent.…”

“…The color map is designed so that dark red color represents a small power-law exponent, which suggests burned tissue; while a light pink color represents a large power-law exponent suggesting healthy tissue. These images show good spectroscopic contrast between burned and healthy tissue regions and more importantly, they revealed an improved penetration depth of approximately 750 μm, which is much higher than the previously reported depth of ~250 μm for conventional OCT measurements [19,20]. Color coded images of layered phantoms using power-law exponent reveal differences between burned and healthy tissue with a larger lateral scan range and an improved penetration depths compared to [20] (Arrow pointing to tissue phantom interface, scale bars: 250μm).…”

“…Here, we present a tissue phantom for burned skin to illustrate the feasibility of detecting burn injuries with ms2/LCI. Like the healthy tissue phantom, the burned phantom was fabricated using three sizes of polydisperse microspheres; however, the volume percentages, shown in Table 2, were adjusted to yield a scattering spectrum that matched that of previous measurements of burned tissue [19,20]. Two-layer samples consisting of burned and healthy tissue phantoms were constructed and imaged with ms2/LCI.…”

Co-localized confocal Raman spectroscopy and optical coherence tomography (CRS-OCT) for depth-resolved analyte detection in tissue

“…For instance, optical coherence tomography (OCT) can measure depth-resolved tissue morphology up to one millimeter below the tissue surface [3,4] depending upon the type of tissue and its associated optical properties. Chemically-sensitive optical methods, such as Raman spectroscopy (RS) [5][6][7][8][9][10][11], can measure spatiotemporal distributions of analytes with up to micron-level spatial resolution when utilizing confocal detection [12].…”

Spectral domain optical coherence tomography for ex vivo brain tumor analysis

“…In a first step, we analyze ex vivo brain tumor tissue samples. Employing spectroscopic analysis of the OCT data, wavelength dependent depth profiles can be obtained by using a Short Time Fourier Transform (STFT) [8] [9]. The window size has an influence on the Time-Frequency distribution [10].…”