Method of bioimage data processing for revealing more meaningful anatomic features of diseased tissues
First Claim
1. A method for generating image maps from a 3D image data set, said data set obtained from imaging a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
- identifying a subset of the image data corresponding to the boundary surface;
fitting a substantially smooth reference surface to the subset of image data;
calculating the distance between points on the reference surface to points of interest within the sample identified from the 3D image data set;
generating an image map of the calculated distances; and
displaying the image map.
1 Assignment
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Accused Products
Abstract
The present invention discloses a method for generating elevation maps or images of a tissue layer/boundary with respect to a fitted reference surface, comprising the steps of finding and segmenting a desired tissue layer/boundary; fitting a smooth reference surface to the segmented tissue layer/boundary; calculating elevations of the same or other tissue layer/boundary relative to the fitted reference surface; and generating maps of elevation relative to the fitted surface. The elevation can be displayed in various ways including three-dimensional surface renderings, topographical contour maps, contour maps, en-face color maps, and en-face grayscale maps. The elevation can also be combined and simultaneously displayed with another tissue layer/boundary dependent set of image data to provide additional information for diagnostics.
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Citations
55 Claims
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1. A method for generating image maps from a 3D image data set, said data set obtained from imaging a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially smooth reference surface to the subset of image data; calculating the distance between points on the reference surface to points of interest within the sample identified from the 3D image data set; generating an image map of the calculated distances; and displaying the image map. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for generating information from a 3D image data set, said 3D data set obtained from imaging a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially smooth reference surface to the subset of image data; calculating the distance between points on the reference surface to points of interest within the sample identified from the 3D image data set; and generating a 2D data set of the calculated distances, wherein the identifying, fitting, calculating and generating steps are performed in a processor. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for generating image maps from a 3D image data set, said data set obtained from imagine a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to a first boundary surface; fitting a substantially smooth reference surface to the subset of image data identifying a second boundary surface; calculating the distance between points on the reference surface to corresponding points on the second boundary surface; generating an image map of the calculated distances; and displaying the image map. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28)
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29. A method for generating an elevational image map from a 3D image data set, said data set derived from an OCT scan of an eye, said eye having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially smooth reference surface to the subset of image data; calculating the elevation between points on the reference surface to points of interest within the sample identified from the 3D data set; generating an elevational image map from the calculated elevational points; and displaying the image map. - View Dependent Claims (30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49)
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36. A method as recited in 29, claim wherein the reference surface is created by fitting to 3D data corresponding to the retinal pigment epithelium.
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50. A method for generating an elevational map from a 3D image data set, said data set derived from an OCT scan of an eye, said eye having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially smooth reference surface to the subset of image data; calculating the elevation between points on the reference surface to points of interest within the sample identified from the 3D data set; and generating a 2D set of the calculated elevational points, wherein the identifying, fitting, calculating and generating steps are performed in a processor.
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51. A method for generating image maps from a 2D image data set, said data set obtained from imaging a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially curved reference line to the subset of image data; calculating the distance between points on the reference line to points of interest within the sample identified from the 2D image data set; generating an image map of the calculated distances; and displaying the image map. - View Dependent Claims (52)
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53. A method for generating images from a 2D image data set, said data set obtained from imaging a sample using an imaging device, said sample having at least one boundary surface associated therewith, said method comprising the steps of:
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identifying a subset of the image data corresponding to the boundary surface; fitting a substantially curved reference line to the subject of image data; calculating the distance between points on the reference line to points of interest within the sample identified from the 2D image data set; and generating a 2D data set of the calculated distances, wherein the identifying, fitting, calculating and generating steps are performed in a processor. - View Dependent Claims (54, 55)
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Specification