Laser induced Fluorescence spectra of oral tissues for optical pathology using ANN

Nayak, Subramanya G and Mahato, KK and Almeida, Lawrence D and Kamath, Sudha D and Pai, Keerthilatha M and Sarkar, Arindam and Kartha, VB and Ray, Satadru (2005) Laser induced Fluorescence spectra of oral tissues for optical pathology using ANN. In: International Conference on Optics and Optoelectronics , Dec. 2005, IRDE, DRDO, Dehradun, Uttaranchal, India..

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In the present work, pulsed laser-induced auto fluorescence spectroscopic studies on pathologically certified oral tissues were carried out at 325nm excitation. The fluorescence spectra recorded, is passed through a median filter and different features are extracted from the spectra. These features include mean, standard deviation, energy, and spectral residual (fitting with 10th degree polynomial) etc. The values of the feature vector reveal information regarding the tissue state. The spectral analysis and classification for discrimination between normal and malignant conditions is performed using Artificial Neural Network (ANN). The ANN used in this study is a classical multiplayer feed forward type with back propagation algorithm for the training of the network. The specificity and sensitivity is determined in the classification scheme, which are 100% and 96.5% respectively. Our method achieves discrimination between normal and malignant human oral tissues. Furthermore, a small time needed to acquire and analyze the fluorescence spectra together with high rates of success, proves our method very attractive for real time applications.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Artificial Neural Network, Principle component analysis, laser induced fluorescence spectroscopy, Nd: YAG laser
Subjects: Engineering > MIT Manipal > Biomedical
Dentistry > MCODS Manipal > Oral Medicine and Radiology
Engineering > MIT Manipal > Electronics and Communication
Medicine > KMC Manipal > Surgical Oncology
Depositing User: MIT Library
Date Deposited: 11 Apr 2013 10:29
Last Modified: 07 Oct 2013 04:32

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