Ophthalmic Tomogram Composite Display for Multi-Layer Morbid Portion Recognition
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Solution Overview
Problem
Conventional image processing techniques for ophthalmic tomograms fail to effectively display the relevance of morbid portions across multiple layers, which is crucial for accurate diagnosis and treatment planning, especially in diseases like diabetic retinopathy where microaneurysms and associated cysts require precise measurement and laser therapy planning.
Innovation Solution
An image processing apparatus that designates specific layers in ophthalmic tomograms to detect primary and associated morbid portions, projects these onto a two-dimensional image, and displays them as a composite image, allowing easy recognition of their relevance and treatment priority.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple layers are displayed separately to detect morbid portions, then detection precision is improved, but ease of operation deteriorates because operators cannot easily recognize the relevance between morbid portions across layers
Solution Approach 1:
The patent merges morbid portions detected from multiple different layers into a single composite display. The display unit integrates information about microaneurysms from inner layers and cysts from outer layers, showing their spatial relationships and relevance in one unified view, allowing operators to easily recognize connections between morbid portions across layers while maintaining detection precision
2Measurement precision
If detailed measurement of all morbid portions is performed, then measurement precision is improved, but loss of time increases due to the complexity of analyzing multiple layers
Solution Approach 1:
The system performs preliminary detection and integration of morbid portions from multiple layers automatically before presentation to the operator. The image processing apparatus pre-processes the data by detecting microaneurysms, cysts, and other morbid portions in different layers, and prepares their spatial relationships in advance, so operators can immediately see relevant information without time-consuming manual analysis
Solution Approach 2:
The patent creates a simplified composite representation (copy) of the complex multi-layer data. Instead of requiring operators to analyze original multi-layer images directly, the system generates a composite display that copies and integrates the essential information about morbid portions and their relationships, reducing the time needed for diagnosis and treatment planning while maintaining measurement precision
Data Source
AI summary
This invention provides an image processing apparatus which allows an operator to easily recognize relevance between morbid portions, which exist in a plurality of layers, according to a disease. An image processing apparatus according to this invention includes an ophthalmic feature acquisition unit which acquires ophthalmic features as anatomical features of the tomogram, a layer designation unit which designates at least two layers required to detect morbid portions corresponding to a disease of a predetermined type from a plurality of layers specified by the ophthalmic features, a morbid portion acquisition unit which detects morbid portions corresponding to the disease of the predetermined type respectively from the layers designated by the layer designation unit, and a composite display unit which generates a composite image by projecting the morbid portions respectively detected from the layers by the morbid portion acquisition unit onto a predetermined two-dimensional image, and displays the composite image.