Invention Application
- Patent Title: GAUSSIAN FITTING ON MEAN CURVATURE MAPS OF PARAMETERIZATION OF CORNEAL ECTATIC DISEASES
- Patent Title (中): 高斯配件对角膜疾病参数平均曲线的影响
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Application No.: US11743136Application Date: 2007-05-01
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Publication No.: US20070291228A1Publication Date: 2007-12-20
- Inventor: David Huang , Maolong Tang
- Applicant: David Huang , Maolong Tang
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Main IPC: A61B3/107
- IPC: A61B3/107 ; G06F17/10
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.
Public/Granted literature
- US07497575B2 Gaussian fitting on mean curvature maps of parameterization of corneal ectatic diseases Public/Granted day:2009-03-03
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