Protocol-Based 3D Volume Rendering for Medical Imaging
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Solution Overview
Problem
Current rendering algorithms for visualizing 3D volumes in medical applications, such as CT and MR scanners, struggle to accurately depict internal structures like the colon due to obstruction by contrast fluids, requiring manual pre- or post-processing steps that are time-consuming, skill-intensive, and non-reproducible.
Innovation Solution
A system that uses a protocol to determine rendering algorithms and parameters based on a-priori knowledge of the volume, allowing automatic application of higher-level knowledge to improve visualization results, including the use of 3D models to derive protocols that adapt rendering processes for specific anatomical features and situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual pre- or post-processing steps are used to manipulate gray-values or segmentations, then visualization quality improves, but time consumption and skill requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple rendering protocols that encode different rendering algorithms and parameter settings for various anatomical structures and imaging scenarios. These protocols are prepared in advance and stored in a database, allowing the system to automatically select and apply the appropriate protocol without requiring manual processing during actual visualization tasks.
Solution Approach 2:
The system implements self-service by automatically selecting the appropriate rendering protocol based on metadata associated with the volumetric data set, such as body part, imaging modality, and contrast agent information. The processor autonomously determines which rendering algorithm and parameters to use without requiring manual intervention, thereby reducing both time consumption and skill requirements while maintaining visualization quality.
2Measurement precision
If manual processing steps are used to remove fluid obstructions, then visualization accuracy improves, but reproducibility decreases due to subjective operator decisions
Solution Approach 1:
The patent applies parameter changes by defining specific rendering parameters within each protocol that control how contrast fluids and anatomical structures are visualized. These parameters include opacity values, color mappings, and threshold settings that are optimized for different imaging scenarios. By changing these parameters systematically according to pre-defined protocols rather than manual adjustments, the system achieves both high visualization accuracy and reproducible results.
Solution Approach 2:
The system implements feedback mechanisms by using metadata from the volumetric data set to automatically determine which rendering protocol to apply. The processor evaluates the input data characteristics and selects the appropriate protocol accordingly, creating a closed-loop system that ensures consistent and reproducible visualization results based on objective data characteristics rather than subjective operator decisions.
3Productivity
If protocol-based automatic rendering is used, then productivity and reproducibility improve, but handling of complex anatomical variations may worsen without proper protocol selection
Solution Approach 1:
The patent applies universality by designing a comprehensive protocol database that covers multiple body parts, imaging modalities, and anatomical variations. Each protocol is designed to be multi-functional, handling different rendering algorithms (ray casting, volume rendering, surface rendering) and adapting to various anatomical structures. This universal approach allows the system to maintain high productivity while effectively handling diverse anatomical variations through appropriate protocol selection.
Data Source
AI summary
A system for visualizing a 3D volume, in particular for medical applications, includes an input 1010 for receiving a three-dimensional set of data representing voxel values of the 3D volume. The data set is stored in a storage 1030. A processor projects the volume onto an imaginary 2D projection screen from a predetermined viewpoint. For each pixel of the 2D projection image a ray is cast through the pixel and through the volume. A protocol is used that, while traversing along ray positions within the volume, determines a rendering algorithm and/or rendering parameters in dependence on the ray position. For each ray position the determined rendering algorithm/parameters are used to calculate a contribution to a pixel value of the pixel based on at least one voxel value within a predetermined range of the ray position. An output 1040 is used for providing pixel values of a 2D image for rendering on a display.