Abstract: Systems and methods for assessing multi-layer structures in which a spectrum array is generated from low coherence interferometry and input into a statistical estimator, which determines the thickness and layer number based on the inputted spectrum and other information, including information about a source intensity noise, Poisson noise, and dark noise associated with the low coherence interferometry.

Abstract: The present invention provides methods and devices for correcting motion related imaging artifacts. In particular, the methods include positioning a device configured to detect motion at a region of interest on an object, simultaneously obtaining an image data set of the region of interest and a motion data set at the region of interest with the device, and correcting motion related imaging artifacts with an algorithm configured to identify time periods of motion from the motion data set, and correct the image data set corresponding to the identified time periods of motion.

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

Abstract: The present invention provides methods and devices for correcting motion related imaging artifacts. In particular, the methods include positioning a device configured to detect motion at a region of interest on an object, simultaneously obtaining an image data set of the region of interest and a motion data set at the region of interest with the device, and correcting motion related imaging artifacts with an algorithm configured to identify time periods of motion from the motion data set, and correct the image data set corresponding to the identified time periods of motion.

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

Abstract: A method for the automated segmentation of an abnormality in a medical image, including acquiring first image data representative of the medical image; locating a suspicious site at which the abnormality may exist; establishing a seed point within the suspicious site; and preprocessing the suspicious site with a constraint function to produce second image data in which pixel values distant of the seed point are suppressed. Preprocessing includes using an isotropic Gaussian function centered on the seed point as the constraint function, or for example using an isotropic three dimensional Gaussian function centered on the seed point as the constraint function.