A one-layer model of laser-induced fluorescence for diagnosis of disease in human tissue: applications to atherosclerosis

• Published in: IEEE transactions on biomedical engineering Vol. 36; no. 12; pp. 1222 - 1232
• Main Authors: Richards-Kortum, R., Rava, R.P., Fitzmaurice, M., Tong, L.L., Ratliff, N.B., Kramer, J.R., Feld, M.S.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.12.1989; Institute of Electrical and Electronics Engineers
• Subjects: Algorithm design and analysis; Algorithms; Aorta - pathology; Arteriosclerosis - pathology; Atherosclerosis; Biological and medical sciences; Cardiovascular system; Chemical lasers; Clinical diagnosis; Collagen - analysis; Diseases; Elastin - analysis; Fluorescence; Humans; Investigative techniques, diagnostic techniques (general aspects); Laser modes; Laser theory; Lasers; Medical sciences; Microscopy, Fluorescence - methods; Optical attenuators; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques; Human; Optimal algorithm; Cardiovascular disease; Physical properties; Fluorescence spectrometry; Design; Biomedical data processing; Tissue; Atherosclerosis; Aorta; Simulation model; Chemical properties; Diagnostic aid
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/10.42117

A general model of tissue fluorescence which can be used to both (1) determine chemical and physical properties of the tissue and (2) design an optimal algorithm for clinical diagnosis of tissue composition is described. The model is based on a picture of tissue as a single, optically thick layer, in which fluorophores and absorbing species are homogeneously distributed. As a specific example, the model is applied to the laser-induced fluorescence of normal and atherosclerotic human aorta using 476-nm excitation. Methods for determining the relevant attenuation and fluorescence lineshapes are detailed, and these lineshapes are used to apply the model to data from 148 samples. The model parameters are related to the concentrations of the major arterial chromosphores, structural proteins, hemoglobin and ceroid. In addition, the model parameters are used to derive diagnostic algorithms for the presence of atherosclerosis. Utilizing a binary classification scheme, the presence or absence of pathology was determined correctly in 88% of the cases.< >