Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Tissue identification during Pneumoperitoneum in laparoscopy

[+] Author Affiliations
Yin Chang, Chi-Yang Tseng

National Yang-Ming Univ. (Taiwan)

Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93130E (March 4, 2015); doi:10.1117/12.2077502
Text Size: A A A
From Conference Volume 9313

  • Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII
  • Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest; Quan Liu
  • San Francisco, California, United States | February 07, 2015

abstract

Pneumoperitoneum is the beginning procedure of laparoscopy to enlarge the abdominal cavity in order to allow the surgical instruments to insert for surgical purpose. However, the insertion of Veress needle is a blind fashion that could cause blood vessels or visceral injury without attention and results in undetectable internal bleeding. Seriously it may cause a life-threatened complication. We have developed a method that can monitor the tissue reflective spectrum, which can be used for tissue discrimination, in real time during the puncture of the Veress needle. The system includes a modified Veress needle which containes an optical bundle, a light spectrum analyzing and control unit. Therefore, the tissue reflective spectrum can be vivid observed and analyzed through the fiber optical technology during the procedure of the Veress needle insertion. In this study, we have measured the reflective spectra of various porcine abdominal tissues. The features of their spectra were analyzed and characterized to build up the data base and create an algorithm for tissue discrimination in laparoscopy. The results showed that the correlation coefficient (r) of the reflective spectrum can be 0.79-0.95 for the wavelength range of 350-1000 nm and 0.85-0.98 for the wavelength range of 350-650 nm in the same tissue of various samples which were obtained from different days. An alternative way for tissue discrimination is achieved through a decision making tree according to the characteristics of tissue spectrum. For single blind test the success rate is nearly 100%. It seems that both the algorithms mentioned above for tissue discrimination are all very promising. Therefore, these algorithms will be applied to in vivo study in animal in the near future. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Yin Chang and Chi-Yang Tseng
" Tissue identification during Pneumoperitoneum in laparoscopy ", Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93130E (March 4, 2015); doi:10.1117/12.2077502; http://dx.doi.org/10.1117/12.2077502


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.