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US 10,360,673 B2Granted
Image analysis
AssigneeEyeKor, LLC
InventorYijun Huang
Life of this patent
Estimating the term…
Abstract
Provided herein is technology relating to analysis of images and particularly, but not exclusively, to methods and systems for determining the area and/or volume of a region of interest using optical coherence tomography data. Some embodiments provide for determining the area and/or volume of a lesion in retinal tissue using three-dimensional optical coherence tomography data and a two-dimensional optical coherence tomography fundus image.
Claims32
A method of treating a subject having a tissue abnormality, the method comprising:
- a) acquiring an area and/or a volume of the tissue abnormality by:
- i) acquiring three-dimensional OCT data comprising at least a first segment and a second segment comprising the tissue abnormality;
- ii) acquiring two-dimensional image data comprising the tissue abnormality, wherein the tissue abnormality in the three-dimensional OCT data corresponds to the tissue abnormality in the two-dimensional data;
- iii) drawing a boundary around the tissue abnormality in the two-dimensional image data, the boundary enclosing an area A, wherein the two-dimensional image data and three-dimensional OCT data are registered via a computer processor so that the tissue abnormality is identified in the three-dimensional OCT data by the boundary drawn on the two-dimensional image and displayed on a computer screen;
- iv) calculating the volume v within the boundary and between the first segment and the second segment;
- v) calculating the average thickness t between the first segment and the second segment along the boundary;
- and
- vi) calculating the volume of the region of interest V=v−(t×A);
- and
- b) administering a treatment to the subject based on the area and/or the volume of the tissue abnormality.
7 more elements
A method of identifying that a treatment of a subject having a tissue abnormality is successful, the method comprising:
- a) calculating a first area and/or a first volume of the tissue abnormality by:
- i) acquiring three-dimensional OCT data comprising at least a first segment and a second segment comprising the tissue abnormality;
- ii) acquiring two-dimensional image data comprising the tissue abnormality, wherein the tissue abnormality in the three-dimensional OCT data corresponds to the tissue abnormality in the two-dimensional data;
- iii) drawing a boundary around the tissue abnormality in the two-dimensional image data, the boundary enclosing an area A, wherein the two-dimensional image data and three-dimensional OCT data are registered via a computer processor so that the tissue abnormality is identified in the three-dimensional OCT data by the boundary drawn on the two-dimensional image and displayed on a computer screen;
- iv) calculating the volume v within the boundary and between the first segment and the second segment;
- v) calculating the average thickness t between the first segment and the second segment along the boundary;
- vi) calculating the volume of the region of interest V=v−(t×A);
- b) administering a treatment to the subject;
- c) calculating a second area and/or a second volume of the tissue abnormality by repeating step (a);
- and
- d) identifying the treatment of the patient as effective when the second area and/or the second volume of the tissue abnormality is less than the first area and/or the first volume of the tissue abnormality.
8 more elements
Dependencies are inferred from the claim text.