3D Medical Image Volume Rendering for Depth Perception
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Solution Overview
Problem
Conventional medical imaging technologies, such as CT scans, require radiologists to view multiple slices sequentially, which is time-consuming and labor-intensive, and struggle to provide accurate three-dimensional representations, often missing faint tissue anomalies due to lack of depth perception and difficulty in distinguishing between similar grayscale tissues.
Innovation Solution
A method that combines image slices to create a volume of interest, allowing for three-dimensional representation on a Head Display Unit (HDU), enabling rotation, tissue subtraction, color differentiation, and zooming to facilitate holistic viewing and enhance depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple CT slices are viewed sequentially to detect tissue anomalies, then detection completeness is improved, but analysis time increases significantly
Solution Approach 1:
The patent combines multiple sequential CT slices into a single three-dimensional volumetric representation that can be viewed holistically. The volume rendering technique merges information from hundreds of slices into one integrated three-dimensional image, allowing radiologists to detect anomalies across the entire volume without manually examining each slice individually, thus maintaining detection completeness while dramatically reducing analysis time
Solution Approach 2:
The patent transforms two-dimensional slice data into a three-dimensional volumetric representation by adding the depth dimension. This dimensional transformation allows radiologists to perceive spatial relationships and tissue anomalies in three dimensions, enabling comprehensive detection across the entire volume while viewing the complete dataset in a single integrated display rather than sequentially through multiple slices
2Device complexity
If traditional two-dimensional displays are used for medical images, then device complexity is reduced, but depth perception and anomaly detection capability deteriorate
Solution Approach 1:
The patent implements three-dimensional volume rendering that preserves and utilizes the depth dimension inherent in CT data. By displaying images in three dimensions rather than flattening them to two dimensions, the system maintains accurate depth perception and spatial relationships, allowing radiologists to distinguish tissue anomalies based on their three-dimensional position and structure without requiring complex optical hardware
3Device complexity
If grayscale images are used to represent different tissues, then image processing simplicity is improved, but tissue differentiation capability deteriorates
Solution Approach 1:
The patent applies color mapping to different tissue types within the three-dimensional volume, assigning distinct colors to different tissue densities and compositions. This color differentiation enhances the radiologist's ability to distinguish between various tissues and identify anomalies, while the color assignment is based on the existing grayscale Hounsfield unit values, maintaining a relatively simple processing pipeline while significantly improving tissue differentiation capability
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.