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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.
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