Abstract: The human eye is constantly in motion. For many imaging applications in the eye, eye motion on the time scale of the image acquisition distorts the images. For imaging applications where the signal is very low, image distortion is so severe that imaging is impossible. According to an exemplary embodiment of the present disclosure, systems, methods and computer-accessible medium can be provided to determine eye motion in real time, and provide real time correction of the eye motion for secondary imaging methods to provide stable images and permit long integration times of single images to increase the signal to noise.

Abstract: The human eye is constantly in motion. For many imaging applications in the eye, eye motion on the time scale of the image acquisition distorts the images. For imaging applications where the signal is very low, image distortion is so severe that imaging is impossible. According to an exemplary embodiment of the present disclosure, systems, methods and computer-accessible medium can be provided to determine eye motion in real time, and provide real time correction of the eye motion for secondary imaging methods to provide stable images and permit long integration times of single images to increase the signal to noise.

Abstract: The present invention relates to the detection of statistically significant changes in tissue characteristics within the eye. Change in a tissue characteristic is statistically significant when the magnitude of the change exceeds the test-retest measurement variability. One embodiment of the present invention analyzes the data using more than one statistic in order to capture global, regional, and/or local changes that are essential to clinical interpretation of changes in a tissue characteristic. In one embodiment of the present invention, the tissue characteristic tested is RNFL thickness.