Sub-diffusive spatial frequency domain imaging: light scattering as a biomarker (Conference Presentation)

David M. McClatchy III; Elizabeth J. Rizzo; Stephen C. Kanick; Venkataramanan Krishnaswamy; Jonathan T. Elliott; Wendy A. Wells; Keith D. Paulsen; Brian W. Pogue

doi:10.1117/12.2252589

19 April 2017 Sub-diffusive spatial frequency domain imaging: light scattering as a biomarker (Conference Presentation)

David M. McClatchy III, Elizabeth J. Rizzo, Stephen C. Kanick, Venkataramanan Krishnaswamy, Jonathan T. Elliott, Wendy A. Wells, Keith D. Paulsen, Brian W. Pogue

Author Affiliations +

Proceedings Volume 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III; 1004906 (2017) https://doi.org/10.1117/12.2252589
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

In spatial frequency domain imaging (SFDI), a spatially modulated intensity pattern is projected on to tissue, with the demodulated reflectance having more superficial sensitivity with increasing spatial modulation frequency. With sub-diffusive SFDI, very high (>0.5 mm-1) spatial modulation frequencies are projected yielding sensitivity to the directionality of light scattering with only few scattering events occurring and sub-millimeter penetration depth and spatial resolution. This technique has been validated in a series of phantom experiments, where fractal distributions of polystyrene spheres were imaged, and through a model based inversion, the size scale distribution versus overall density of these particles could be separated and visualized in spatially resolved maps. With sensitivity to localized light scattering over a wide field of view (11 cm x 14 cm), this technique is being translated for the application of intraoperative breast tumor margin assessment. To test sensitivity to changes in human breast tissue morphology, a cohort of over 30 freshly excised human breast tissue specimens, including adipose, fibroglandular, fibroadenoma, and invasive carcinoma, have been imaged and co-registered to whole specimen histology. Statistical analysis of the distributions of both textual raw reflectance parameters and model based optical properties for each type of tissue will be presented. Furthermore, classification algorithm development and analysis to predicted likelihood of cancer on the surface of the tissue will also be presented. Reflectance maps, optical property maps, and probability likelihood maps of spatially heterogeneous samples with multiple tissue types will also be shown.

Conference Presentation

Citation Download Citation

David M. McClatchy III, Elizabeth J. Rizzo, Stephen C. Kanick, Venkataramanan Krishnaswamy, Jonathan T. Elliott, Wendy A. Wells, Keith D. Paulsen, and Brian W. Pogue "Sub-diffusive spatial frequency domain imaging: light scattering as a biomarker (Conference Presentation)", Proc. SPIE 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III, 1004906 (19 April 2017); https://doi.org/10.1117/12.2252589

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Light scattering

Tissues

Breast

Modulation

Reflectivity

Tissue optics

Optical properties

Show All Keywords

Keywords/Phrases

Search In:

Publication Years