Retinal Cell Type Mapping for Precise Lesion Measurement
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Solution Overview
Problem
Current retinal health care methods lack the ability to effectively annotate and measure the impact of cell type distributions in retinal images, particularly in areas affected by disease or trauma, as they do not consider the geometric and cellular information simultaneously.
Innovation Solution
A method involving obtaining a cell type map of the eye, matching it with a retinal representation, defining a region of interest, calculating its size, and determining the cell type measure within that region, using imaging devices like scanning laser ophthalmoscopes and optical coherence tomography, to enhance measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If retinal images are annotated and measured without considering cell type distributions, then geometric measurements of retinal portions can be obtained, but the usefulness and precision of the measurement information is limited
Solution Approach 1:
The patent combines cell type distribution maps with retinal images by matching coordinate systems and overlaying the data. This merging allows geometric measurements of retinal portions to be enhanced with cellular information, thereby improving measurement precision without requiring separate independent systems
Solution Approach 2:
The method integrates multiple functions into a unified approach: obtaining cell type maps, matching coordinate systems, annotating retinal portions, and calculating measurements all within a single framework. This multi-functionality improves measurement usefulness while managing complexity through integration rather than separate processes
2Measurement precision
If cell type maps are matched to retinal representations to enhance measurement information, then measurement precision is improved, but the complexity of the method increases
Solution Approach 1:
The patent performs preliminary actions by obtaining and preparing cell type distribution maps before matching them to retinal images. Coordinate systems are established and matched in advance, allowing the actual measurement process to benefit from pre-processed aligned data, thereby improving precision while managing complexity through preparatory steps
3Loss of information
If geometric measurements and cellular information are integrated, then the usefulness of retinal measurement information is enhanced, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent uses coordinate system matching as an intermediary process to bridge cell type maps and retinal images. By establishing corresponding coordinate systems and using transformation matrices, the method enables seamless integration of geometric and cellular information without directly complicating the measurement process
Data Source
AI summary
A method of determining a measurement of at least one cell type in an eye, comprising (i) obtaining a map of the cell type in the eye, (ii) obtaining a representation of the retina of the eye, (iii) matching the eye cell type map to the representation of the retina of the eye, (iv) defining a region of interest on the representation of the retina of the eye, (v) calculating a size of the region of interest on the representation of the retina of the eye, (vi) using the matched eye cell type map and the size of the region of interest to determine a measure of the cell type in the region of interest of the retina of the eye.