A novel spectral imaging method for the classification of light-induced autofluorescence spectra based on principal component analysis (PCA), a multivariate statistical analysis technique commonly used for studying the statistical characteristics of spectral data, is proposed and investigated. A set of optical spectral filters related to the diagnostically relevant principal components is proposed to process autofluorescence signals optically and generate principal component score images of the examined tissue simultaneously. A diagnostic image is then formed on the basis of an algorithm that relates the principal component scores to tissue pathology. With autofluorescence spectral data collected from nasopharyngeal tissue in vivo, a set of principal component filters was designed to process the autofluorescence signal, and the PCA-based diagnostic algorithms were developed to classify the spectral signal. Simulation results demonstrate that the proposed spectral imaging system can differentiate carcinoma lesions from normal tissue with a sensitivity of 95% and specificity of 93%. The optimal design of principal filters and the optimal selection of PCA-based algorithms were investigated to improve the diagnostic accuracy. The robustness of the spectral imaging method against noise in the autofluorescence signal was studied as well.

© 2002 Optical Society of America

[Optical Society of America ]

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

Related Journal Articles

• Excitation-and-Collection Geometry Insensitive Fluorescence Imaging of Tissue-Simulating Turbid Media (AO)
• Polarized wavelength-dependent measurements of turbid media (OE)
• Optical processing of light-induced autofluorescence for characterization of tissue pathology (OL)
• Probing multifractality in tissue refractive index: prospects for precancer detection (OL)
• Spectrometer for fluorescence–reflection biomedical research (JOT)

Related Conference Papers

• Confocal autofluorescence spectroscopy of biological tissues
• Optical signals of the ovary
• Comprehensive Study of the Phenomenological Mechanisms Involved in Autofluorescence Bronchoscopy
• Elastic Scattering Spectroscopy for Detection of Sentinel Lymph Node Metastases in Breast Carcinoma
• In vivo Estimation of Total Hemoglobin Content and Hemoglobin Saturation in the Detection of Cervical Epithelial Pre-Cancers