3D Medical Image Volume Rendering for Radiology
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Solution Overview
Problem
Conventional medical imaging technologies, such as CT scans, struggle with providing radiologists with an efficient and effective means to visualize multiple slices and construct a holistic three-dimensional representation of patient data, leading to time-consuming and labor-intensive processes due to limitations in depth perception and tissue anomaly detection.
Innovation Solution
The development of a system that combines medical imaging slices to create a volume of interest, allowing for three-dimensional representation on a Head Display Unit (HDU), enabling radiologists to rotate, zoom, and identify tissues with color schematics, thereby facilitating unobstructed viewing and depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional CT scan viewing methods are used (single slice at a time on standard monitors), then the system is simple and widely compatible, but the radiologist must manually review hundreds of slices sequentially, leading to extremely time-consuming and labor-intensive analysis
Solution Approach 1:
The patent transforms the conventional two-dimensional slice-by-slice viewing method into a three-dimensional volumetric representation. By stacking multiple CT slices to form a 3D volume and rendering it with depth perception, the radiologist can view the entire anatomical region (e.g., chest and abdomen) in a single holistic image, eliminating the need to sequentially review hundreds of individual slices and dramatically reducing diagnostic time
Solution Approach 2:
The patent combines multiple separate CT slices into a single integrated three-dimensional volume. By merging the information from hundreds of individual slices into one cohesive 3D representation, the system allows the radiologist to analyze the entire anatomical region simultaneously, improving productivity while reducing the time required for comprehensive review
2Measurement precision
If conventional 2D slice viewing is used, then the equipment and method are simple, but the radiologist cannot detect faint tissue anomalies effectively and must carefully scrutinize each slice, making the process very time-consuming
Solution Approach 1:
The patent adds the third dimension (depth) to the conventional 2D slice viewing by creating a volumetric representation with stereoscopic depth perception. This dimensional enhancement allows faint tissue anomalies to be visualized in their spatial context within the 3D volume, improving detection accuracy while reducing the time required for careful scrutiny of each individual slice
3Stability of the object's composition
If stereoscopic imagery is produced using true stereo pairs from complex optical systems, then three-dimensional quality is achieved, but the system becomes costly and difficult to implement
Solution Approach 1:
The patent creates a virtual three-dimensional copy of the anatomical volume using computer-generated rendering techniques applied to standard CT slice data. Instead of requiring complex optical systems to capture true stereo pairs, the system synthesizes stereoscopic images through software processing, achieving high-quality 3D visualization while eliminating the need for specialized optical hardware
Solution Approach 2:
The patent replaces the mechanical optical systems required for capturing true stereo pairs with computational methods. By using software-based rendering and image processing to generate stereoscopic views from standard CT data, the system achieves equivalent or superior three-dimensional quality without the complexity and cost of specialized optical equipment
Data Source
AI summary
A method, apparatus and computer program product for three-dimensional viewing of images is presented. Embodiments of the invention provide a process for combining slices generated by medical imaging devices to create a volume of interest and then present this volume in a three-dimensional representation to a head display unit so that the user can obtain a holistic view of the patient. Key image processing techniques are applied which enable the user to rotate and view the volume of interest from alternative viewpoints; to enable tissue subtraction to facilitate unobstructed viewing of a region of interest; to identify differing tissues with color schematics; to zoom in for optimal viewing; and to view a moving image of a volume of interest.