Dr. Hassan S. Salehi
, electrical and computer engineering faculty member at the University of Hartford's College of Engineering, Technology, and Architecture (CETA)
published a research paper at the SPIE Photonics West International Conference
, held in San Francisco, January 28-February 2, 2017. The paper, "Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images
," was written by lead author Dr. Salehi along with CETA faculty member Ali Kosa, Stony Brook assistant professor Dr. Mina Mahdian, CETA Assistant Dean Dr. Saeid Moslehpour, CETA Associate Dean Dr. Hisham Alnajjar, and UCONN Health Center assistant professor Dr. Aditya Tadinada.
The paper describes a new feature extraction method using advanced image processing techniques for early detection of pathologic changes in tissues. Based on the observed texture differences between optical coherence tomography (OCT) images of soft and hard tissues, spatial and spectral features were quantitatively extracted from the OCT images. The Radon transform from angles of 0 deg to 90 deg was computed, averaged over all the angles, normalized to peak at unity, and then fitted with Gaussian function. The mean absolute values of the spatial frequency components of the OCT image were considered as a feature, where 2-D fast Fourier transform (FFT) was done to OCT images. These OCT features can reliably differentiate between a range of hard and soft tissues, and could be extremely valuable in assisting dentists for in vivo evaluation of oral tissues and early detection of pathologic changes in tissues, which would result in more successful treatment outcome.