Title :
Artificial spectral vision for studying the spectral, the spatial and the temporal characteristics of dynamic optical phenomena in biomedicine
Author :
Iliou, D. ; Epitropou, G. ; Kavvadias, V. ; Tsapras, A. ; Rossos, C. ; Galaras, C. ; Balas, C.
Author_Institution :
Sch. of Electron. & Comput. Eng., Tech. Univ. of Crete (TUC), Chania, Greece
Abstract :
In this paper we present a novel snapshot spectral imager with the distinct advantage of being able to display maps representing different spectral classes in a scene in video rates. The Simultaneous capturing of spectral images through a common aperture is combined with spectral estimation algorithms for improving spectral resolution at no cost to the spatial resolution. The developed real time spectral mapper (RTSM) is validated in a pilot study as a blood oxygen saturation mapper, where its great value in studying the spatiotemporal characteristics of dynamic optical effects was clearly established.
Keywords :
estimation theory; image resolution; medical image processing; video signal processing; artificial spectral vision; biomedicine; blood oxygen saturation mapper; dynamic optical effect; dynamic optical phenomena; real time spectral mapper; snapshot spectral imager; spatial characteristic; spectral estimation algorithm; spectral resolution; temporal characteristic; video rates; Accuracy; Blood; Estimation; Image color analysis; Imaging; Reflectivity; Silicon; Peripheral Arterial Disease; blood saturation; chemical imaging; diabetes; spectral imaging; spectral mapping;
Conference_Titel :
Imaging Systems and Techniques (IST), 2014 IEEE International Conference on
Conference_Location :
Santorini
DOI :
10.1109/IST.2014.6958473
