Hyperspectral imaging based on compressive sensing to determine cancer margins in human pancreatic tissue ex vivo

Joseph Peller; Kyle J. Thompson; Imran Siddiqui; John Martinie; David A. Iannitti; Susan R. Trammell

doi:10.1117/12.2250387

17 February 2017 Hyperspectral imaging based on compressive sensing to determine cancer margins in human pancreatic tissue ex vivo

Joseph Peller, Kyle J. Thompson, Imran Siddiqui, John Martinie, David A. Iannitti, Susan R. Trammell

Author Affiliations +

Proceedings Volume 10060, Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis; 100600J (2017) https://doi.org/10.1117/12.2250387
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Pancreatic cancer is the fourth leading cause of cancer death in the US. Currently, surgery is the only treatment that offers a chance of cure, however, accurately identifying tumor margins in real-time is difficult. Research has demonstrated that optical spectroscopy can be used to distinguish between healthy and diseased tissue. The design of a single-pixel imaging system for cancer detection is discussed. The system differentiates between healthy and diseased tissue based on differences in the optical reflectance spectra of these regions. In this study, pancreatic tissue samples from 6 patients undergoing Whipple procedures are imaged with the system (total number of tissue sample imaged was N=11). Regions of healthy and unhealthy tissue are determined based on SAM analysis of these spectral images. Hyperspectral imaging results are then compared to white light imaging and histological analysis. Cancerous regions were clearly visible in the hyperspectral images. Margins determined via spectral imaging were in good agreement with margins identified by histology, indicating that hyperspectral imaging system can differentiate between healthy and diseased tissue. After imaging the system was able to detect cancerous regions with a sensitivity of 74.50±5.89% and a specificity of 75.53±10.81%. Possible applications of this imaging system include determination of tumor margins during surgery/biopsy and assistance with cancer diagnosis and staging.

Conference Presentation

Citation Download Citation

Joseph Peller, Kyle J. Thompson, Imran Siddiqui, John Martinie, David A. Iannitti, and Susan R. Trammell "Hyperspectral imaging based on compressive sensing to determine cancer margins in human pancreatic tissue ex vivo", Proc. SPIE 10060, Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 100600J (17 February 2017); https://doi.org/10.1117/12.2250387

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