Fundus Blood Flow Velocity Visualization via Frame Registration
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Solution Overview
Problem
Current image processing methods for visualizing blood flow in fundus images lack effective registration and visualization techniques to accurately depict the state of blood fluid flow through blood vessels before and after treatments like photodynamic therapy, making it difficult for ophthalmologists to assess treatment efficacy.
Innovation Solution
An image processing method that registers frames in moving images of the fundus, computes visualization data based on pixel values to show blood flow velocity, and generates visualization data to display the state of blood fluid flow through blood vessels, using adaptive optics and near-infrared imaging to enhance image quality and alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frame registration is performed on moving images to visualize blood flow velocity, then the accuracy of blood flow visualization is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent performs frame registration before blood flow velocity computation by selecting a reference frame and aligning other frames to it. This preliminary alignment ensures accurate pixel correspondence across frames, which is essential for precise blood flow velocity measurement while establishing a systematic processing framework that balances accuracy with efficiency
Solution Approach 2:
The patent divides the moving image into multiple discrete frames and processes them individually through registration and velocity computation. By segmenting the video sequence into frame units that can be independently registered and analyzed, the method achieves accurate blood flow visualization while enabling parallel or sequential processing to manage computational time
2Measurement precision
If multiple frame images are registered and processed to compute blood flow velocity, then the visualization accuracy of blood fluid flow state is improved, but the device complexity and processing load increase
Solution Approach 1:
The patent implements a multi-functional image processing system that performs frame registration, pixel value computation, and blood flow velocity visualization within a unified processing framework. The same processing pipeline handles both the alignment of multiple frames and the subsequent velocity calculation, reducing overall system complexity while maintaining high visualization accuracy
Solution Approach 2:
The patent introduces an intermediate processing stage where registered frame images are aligned and integrated before final velocity computation. This intermediary registration step acts as a mediator that ensures accurate pixel correspondence across frames, enabling precise blood flow visualization without requiring direct complex processing of all original frames simultaneously
Data Source
AI summary
Data is computed in order to visualize the velocity of blood fluid flowing through a blood vessel at a fundus. An image processing method includes a step of performing registration of each frame in a moving image configured by plural frames of an imaged fundus, and a step of computing visualization data enabling visualization of a state of blood fluid flowing through a blood vessel at the fundus based on a pixel value in each of the registered frames.