Paper
17 February 2017 Enhanced scatter contrast color imaging of tissue: methods for comparing high spatial frequency domain and cross-polarization scatter images
Author Affiliations +
Abstract
This paper describes the system calibration and demodulation procedures used in an investigation of the scatter-specific tissue contrast that can be obtained by high spatial frequency (HSF) domain imaging and cross- polarization (CP) imaging using an inexpensive color imaging system.

HSF and CP imaging methods are both known to alter the reflectance image sensitivity to diffuse multiply- scattered and superficially backscattered photons. This results in enhanced contrast, compared to standard wide-field imaging, based on tissue surface microstructure and composition. Measurements in tissue-simulating optical phantoms show that CP images display contrast based on both scattering and absorption, while HSF is specifically sensitive to scatter-only contrast, strongly suppressing absorption-based contrast. By altering the frequency used, the degree of contrast suppression or enhancement can be tuned.1 This suggests that an inexpensive HSF imaging system could have potential to aid diagnostic procedures, where CP is the current state-of-the-art imaging modality.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mackenzie L. Carlson, David M. McClatchy III, Jason R. Gunn, Jonathan T. Elliott, Keith D. Paulsen, Stephen C. Kanick, and Brian W. Pogue "Enhanced scatter contrast color imaging of tissue: methods for comparing high spatial frequency domain and cross-polarization scatter images", Proc. SPIE 10059, Optical Tomography and Spectroscopy of Tissue XII, 100590B (17 February 2017); https://doi.org/10.1117/12.2256027
Lens.org Logo
CITATIONS
Cited by 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Imaging systems

Spatial frequencies

Tissues

Cameras

Video

Projection systems

MATLAB

Back to Top