Abstract: Disclosed are systems and methods for characterizing corneal shape abnormalities. These methods may be used to differentiate corneas having subclinical keratoconus from other conditions which cause distortion of corneal shape, including warpage of the cornea due to contact lens wear. Also disclosed is classification scheme to aid diagnosis of corneal conditions and thereby guide clinical decision making regarding patient treatment. This classification scheme is based on computed properties of corneal shape, is amenable to automation, and may be implemented in an integrated system or provided in the form of software encoded on a computer-readable medium.

Abstract: Disclosed are systems and methods for characterizing corneal shape abnormalities. These methods may be used to differentiate corneas having subclinical keratoconus from other conditions which cause distortion of corneal shape, including warpage of the cornea due to contact lens wear. Also disclosed is classification scheme to aid diagnosis of corneal conditions and thereby guide clinical decision making regarding patient treatment. This classification scheme is based on computed properties of corneal shape, is amenable to automation, and may be implemented in an integrated system or provided in the form of software encoded on a computer-readable medium.

Abstract: Disclosed are systems and methods for characterizing corneal shape abnormalities. These methods may be used to differentiate corneas having subclinical keratoconus from other conditions which cause distortion of corneal shape, including warpage of the cornea due to contact lens wear. Also disclosed is classification scheme to aid diagnosis of corneal conditions and thereby guide clinical decision making regarding patient treatment. This classification scheme is based on computed properties of corneal shape, is amenable to automation, and may be implemented in an integrated system or provided in the form of software encoded on a computer-readable medium.

Abstract: This invention discloses methods and systems for measuring corneal epithelial thickness and power, stromal thickness, subepitheila corneal power and topography. The systems and methods disclosed herein are non-invasive, non-contact and automated imaging methods which preferably makes use of Fourier-domain optical tomography. Also disclosed herein are scanning patterns and image analysis methods for utilizing and analyzing Fourier-domain optical coherence tomography images to obtain information about conical epithelial and stromal properties as well as parameters useful for evaluating the properties. The methods and systems described herein are useful as eye disease diagnostic tools and eye surgery planning tools.

Abstract: This invention discloses methods and systems for measuring corneal epithelial thickness and power, stromal thickness, subepitheila corneal power and topography. The systems and methods disclosed herein are non-invasive, non-contact and automated imaging methods which preferably makes use of Fourier-domain optical tomography. Also disclosed herein are scanning patterns and image analysis methods for utilizing and analyzing Fourier-domain optical coherence tomography images to obtain information about conical epithelial and stromal properties as well as parameters useful for evaluating the properties. The methods and systems described herein are useful as eye disease diagnostic tools and eye surgery planning tools.

Abstract: The present invention discloses a method for characterizing ectatic diseases of the cornea by computing a mean curvature map of the anterior or posterior surfaces of the cornea and fitting the map to a Gaussian function to characterize the surface features of the map. Exemplary ectatic disease that may be characterized include keratoconus and pellucid marginal degeneration. Also disclosed are a system for diagnosing ectatic disease of the cornea and a computer readable medium encoding the method thereof.

Abstract: The present invention discloses a method for characterizing ectatic diseases of the cornea by computing a mean curvature map of the anterior or posterior surfaces of the cornea and fitting the map to a Gaussian function to characterize the surface features of the map. Exemplary ectatic disease that may be characterized include keratoconus and pellucid marginal degeneration. Also disclosed are a system for diagnosing ectatic disease of the cornea and a computer readable medium encoding the method thereof.

Abstract: Optical coherence tomography (OCT) is used to map the surface elevation and thickness of the cornea. The OCT maps are used to plan laser procedures for the treatment of an irregular, opacified or weakened cornea, and in the treatment of refractive errors. In the excimer laser phototherapeutic keratectomy (PTK) procedure, the OCT data is used to plan a map of ablation depth needed to restore a smooth optical surface. In the excimer laser photorefractive keratectomy procedure, OCT mapping of epithelial thickness is used to achieve clean laser epithelial removal. In femtosecond laser anterior keratoplasty procedure, OCT data is used to plan the depth of femtosecond laser dissection to remove an anterior layer of the cornea, leaving a smooth recipient bed of uniform thickness to receive a disk of donated corneal tissue.

Abstract: The present invention relates to laser ablation patterns to correct refractive errors of the eye (60) such as nearsightedness, farsightedness, astigmatism, and higher order aberrations of the eye (60). The laser ablation patterns used to control the laser (10) prevent induced aberrations by compensating for post-procedure epithelial smoothing. The position of laser pulses (12) is also controlled to optimize the achievement of the intended ablation pattern.

Abstract: Systems and methods provide convexity map data associated with captured surface image data of a cornea The convexity map data is determined by transforming an elevation map data set into a convexity map data set. Convexity is computed as the negative of the Laplacian of the local elevation. One or more statistical parameters can be associated with the convexity map data set and employed to derive indices. The indices can be utilized to diagnosis a corneal condition.