Corneal stromal mapping

1. A method of measurement, comprising:

obtaining a corneal anterior surface map from a first imaging method;

obtaining an epithelial thickness map from a second imaging method;

combining the corneal anterior surface map and the epithelial thickness map to obtain a stromal elevation map and a topographic map of a stromal corneal curvature; and

displaying the topographic map, wherein the combining the corneal anterior surface map and the epithelial thickness map includes calculating the difference between the corneal anterior surface map and the epithelial thickness map.

2. The method of claim 1 , further comprising determining a corneal epithelial surface, a corneal stroma, or an anterior corneal stromal interface of an eye.

3. The method of claim 1 , wherein the first imaging method can be a placido imaging, an ultrasound imaging, a scheimpflug photography, or an optical coherence tomography.

4. The method of claim 1 , wherein the second imaging method can be an ultrasound imaging, a scheimpflug photography, or an optical coherence tomography.

5. The method of claim 1 , further comprising calculating at least one shape parameter from the corneal anterior surface map and the epithelial thickness map, wherein the at least one shape parameter can be an axial power (sagital power), axial curvature (sagittal curvature), tangential power (instantaneous power), tangential curvature (instantaneous curvature), mean curvature, elevation, and elevation relative to a reference surface.

6. The method of claim 1 , further comprising calculating at least one corneal ectasia screening parameter based on structural information of a corneal epithelial surface.

7. The method of claim 1 , further comprising calculating at least one corneal ectasia screening parameter based on structural information of a corneal epithelial-stromal interface.

8. A method of measurement, comprising:

obtaining at least a corneal anterior surface map from a first imaging method selected from a group consisting of a placido image, an ultrasound, a Scheimpflug photography, and an optical coherence tomography (OCT);

obtaining at least an epithelial thickness map from a second imaging method selected from a group consisting of an OCT, a high-resolution ultrasound, or a Sheimpflug photography;

processing the corneal anterior surface map and the epithelial thickness map to obtain an interface between a corneal epithelium and a corneal stroma;

determining at least one shape parameter of the interface;

calculating at least one corneal ectasia screening parameter;

generating a topographic or three-dimensional representation of the interface; and

displaying the topographic or three-dimensional representation,

wherein the processing of the corneal anterior surface map and the epithelial thickness map includes calculating the difference between the corneal anterior surface map and the epithelial thickness map.

9. An image processing system, comprising:

a first imager;

a second imager; and

a processor coupled to the first imager and the second imager, the processor executing instructions to:

obtain a corneal anterior surface map from the first imager;

obtain an epithelial thickness map from the second imager;

combine the corneal anterior surface map and the epithelial thickness map to obtain a stromal elevation map and a topographic map of a stromal corneal curvature; and

display the topographic map, wherein the combining the corneal anterior surface map and the epithelial thickness map includes calculating the difference between the corneal anterior surface map and the epithelial thickness map.

10. The imager of claim 9 , wherein the first imager can be a placido imager, an ultrasound imager, a scheimpflug photography imager, or an optical coherence tomography imager.

11. The imager of claim 9 , wherein the second imager can be an ultrasound imager, a scheimpflug photography imager, or an optical coherence tomography imager.