Robert W. Knighton,Matthew J. Everett,Mary K. Durbin,Jonathan D. Oakley
申请号：
US14316548
公开号：
US09775510B2
申请日:
2014.06.26
申请国别(地区):
US
年份:
2017
代理人:
摘要：
Methods for analyzing optical coherence tomography (OCT) images of the macula to reduce variance and improve disease diagnosis are presented. One embodiment of the invention is directed towards selecting analysis locations and data segmentation techniques to take advantage of structural homogeneities. Another embodiment is directed towards reducing the variance in a collection of normative data by transforming the individual members of the database to correspond to a Standard Macula. Variations in foveal size are corrected by radial transformation. Variations in layer thickness are corrected by axial shifting. Diagnosis is performed by comparing OCT images from a patient to the improved normative database.
