Title :
Optimal visual perception and detectionof oral cavity neoplasia
Author :
Utzinger, Urs ; Bueeler, Michael ; Oh, Sanghoon ; Heintzelman, Douglas L. ; Svistun, Ekaterina S. ; Abd-El-Barr, Muhammad ; Gillenwater, Ann ; Richards-Kortum, Rebecca
Author_Institution :
Dept. of Biomed. Eng. & Obstetrics & Gynecology, Univ. of Arizona, Tucson, AZ, USA
fDate :
3/1/2003 12:00:00 AM
Abstract :
The most common way to detect disease is by visual inspection of the suspect tissue. However, the human eye is not optimized for this task because the perceived spectrum of light is divided into three channels, all of which have overlapping spectral sensitivity curves. Here, we present new methods to optimize visually perceived contrast based on spectral differences between normal and abnormal tissue. We apply these methods to the perception of fluorescence emission from the oral cavity. Abnormalities in the oral cavity are optimally perceived when the excitation is between 420-440 nm. To optimally visualize fluorescence at 340-nm excitation, the emission should be observed through a blue bandpass filter transmitting light at 430 nm.
Keywords :
biomedical optical imaging; cancer; colour vision; fluorescence; visual perception; 340 nm; 420 to 440 nm; 430 nm; abnormal tissue; blue bandpass filter; color vision; disease detection; fluorescence emission; human eye; normal tissue; optimal visual perception; oral cancer; oral cavity neoplasia detection; overlapping spectral sensitivity curves; perceived spectrum; precancer; spectral differences; suspect tissue; visual inspection; visually perceived contrast; Band pass filters; Biomedical engineering; Biomedical optical imaging; Diseases; Fluorescence; Inspection; Lighting; Neoplasms; Optical filters; Visual perception; Color; Contrast Sensitivity; Databases, Factual; Fluorescence; Humans; Models, Biological; Mouth Neoplasms; Observer Variation; Physical Examination; Precancerous Conditions; Quality Control; Reference Values; Reproducibility of Results; Sensitivity and Specificity; Spectrometry, Fluorescence; Visual Perception;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2003.808832