Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Computational analysis of optical coherence tomography images for the detection of soft tissue sarcomas

[+] Author Affiliations
Shang Wang, Narendran Sudheendran, Chih-Hao Liu, Ravi K. Manapuram, Kirill V. Larin

Univ. of Houston (United States)

Valery P. Zakharov

Samara State Aerospace Univ. (Russian Federation)

Davis R. Ingram, Alexander J. Lazar, Dina C. Lev, Raphael E. Pollock

The Univ. of Texas MD Anderson Cancer Ctr. (United States)

Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 85800T (February 28, 2013); doi:10.1117/12.2006638
Text Size: A A A
From Conference Volume 8580

  • Dynamics and Fluctuations in Biomedical Photonics X
  • Valery V. Tuchin; Donald D. Duncan; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang
  • San Francisco, California, USA | February 02, 2013

abstract

We present a computational method for the analysis of optical coherence tomography (OCT) images to detect soft tissue sarcomas. The method combines the quantitative analysis of two aspects of information from the intensity A-lines of OCT images; one is the slope of the intensity A-line with dB unit, which is determined by the optical attenuation characteristics of tissue; the other is the standard deviation (SD) of the slope-removed intensity A-line, which is dependent on the tissue structural features. The method is tested with pilot experiments on ex vivo tissue samples of human fat, muscle, well differentiated liposarcoma (WDLS) and leiomyosarcoma. Our results demonstrate the feasibility of this quantitative method in the differentiation of soft tissue sarcomas from normal tissues. This study indicates that OCT can be a potential computer-aided means of automatically and accurately identifying resection margins of soft tissues sarcomas during surgical treatment. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Shang Wang ; Narendran Sudheendran ; Chih-Hao Liu ; Ravi K. Manapuram ; Valery P. Zakharov, et al.
" Computational analysis of optical coherence tomography images for the detection of soft tissue sarcomas ", Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 85800T (February 28, 2013); doi:10.1117/12.2006638; http://dx.doi.org/10.1117/12.2006638


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.