Image Processing System for Real-Time 3D Medical Volume Rendering
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Solution Overview
Problem
Current image processing techniques face challenges in efficiently rendering and displaying high-quality 3D medical images, particularly in processing large volumes of data and highlighting regions of interest, as existing methods struggle to adapt rendering techniques to different regions and sampling rates in real-time.
Innovation Solution
An image processing system and method that includes modules for image cutting, region of interest (ROI) processing, and variable sampling rate (VSR) processing, allowing for interactive manipulation of images, real-time rendering, and adaptive sampling rate adjustments to enhance display quality and clarity of specific regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If volume rendering processes 3-D data with high image resolution, then image quality is improved, but processing time and computational load increase significantly
Solution Approach 1:
The patent divides the 3-D volume data into multiple 2-D slices or planes, processing each slice independently through the projection plane. This segmentation allows parallel processing of multiple slices simultaneously, reducing overall processing time while maintaining high image quality through consistent rendering of each slice
Solution Approach 2:
The system dynamically adjusts rendering parameters and sampling rates based on the specific requirements of different regions within the 3-D volume. By adapting the processing intensity and detail level to regional needs, the system optimizes the balance between image quality and processing time, avoiding uniform high-cost processing across the entire volume
2Adaptability or versatility
If different rendering techniques are applied to different regions of 3-D volume data, then regions of interest are highlighted, but system complexity increases
Solution Approach 1:
The patent applies different rendering techniques and parameters to different regions of the 3-D volume data based on their specific characteristics. Regions of interest receive enhanced rendering with higher detail and specialized techniques, while less critical regions use standard rendering, optimizing both visualization quality and system resource utilization
Solution Approach 2:
The system employs a unified projection plane approach that can handle multiple rendering techniques and 3-D data types through a single integrated framework. This universal architecture reduces system complexity by consolidating multiple specialized processors into one multi-functional system that adapts to different rendering requirements
3Manufacturing precision
If the amount of 3-D data increases with image resolution, then image detail is improved, but real-time production becomes difficult
Solution Approach 1:
The patent segments the large 3-D volume data into multiple smaller 2-D slices that can be processed independently and in parallel. This segmentation reduces the computational burden on each processing unit, enabling real-time production while maintaining high image detail through consistent rendering of all slices through the projection plane
Solution Approach 2:
The system processes and displays regions of interest with higher detail and computational effort, while using reduced processing for less critical areas. This partial action approach ensures real-time production capability by avoiding uniform high-detail processing of the entire volume, while still delivering sufficient image detail where it matters most
Data Source
AI summary
The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.