Method and apparatus for spatially mapping three-dimensional optical coherence tomography data with two-dimensional images
AssigneeTopcon Medical Systems, Inc.
InventorsYijun Huang, Alexandre Kotchkin, Tetsuyoshi Royama
Life of this patent
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Abstract
Voxel data from a three-dimensional optical coherence tomography (3-D OCT) scan of a retina and pixel data from a two-dimensional (2-D) fundus image are spatially mapped. A 2-D composite image generated from the 3-D OCT data is spatially mapped to a fundus image using spatial indicia common to both images. The 3-D OCT data is then spatially mapped to the fundus image. An image processing system generates cross-correlated graphical representations of 3-D OCT data, subsets of 3-D OCT data, and a fundus image.
Claims26
A method for spatially mapping three-dimensional (3-D) voxel data associated with a three-dimensional optical coherence tomography (3-D OCT) scan and pixel data associated with a secondary two-dimensional (2-D) image, comprising:
- generating a 2-D composite image from said 3-D voxel data, wherein said 2-D composite image is different from said secondary 2-D image;
- and
- spatially mapping said 2-D composite image and said secondary 2-D image.
An image processing system for spatially mapping three-dimensional (3-D) voxel data associated with a three-dimensional optical coherence tomography (3-D OCT) scan and pixel data associated with a secondary two-dimensional (2-D) image, comprising:
- means for generating a 2-D composite image from said 3-D voxel data, wherein said 2-D composite image is different from said secondary 2-D image;
- and
- means for spatially mapping said 2-D composite image and said secondary 2-D image.
A non-transitory computer readable medium storing computer program instructions for spatially mapping three-dimensional (3-D) voxel data associated with a three-dimensional optical coherence tomography (3-D OCT) scan and pixel data associated with a secondary two-dimensional (2-D) image, the computer program instructions defining the steps of:
- generating a 2-D composite image from said 3-D voxel data, wherein said 2-D composite image is different from said secondary 2-D image;
- and
- spatially mapping said 2-D composite image and said secondary 2-D image.
Dependencies are inferred from the claim text.