Enhanced 2D Imaging via 3D Redundant Element Omission
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Solution Overview
Problem
Traditional two-dimensional medical images often suffer from limited information due to redundant physical features, making it difficult to clearly visualize tissue of interest, which can hinder diagnosis and treatment.
Innovation Solution
An arrangement and method that utilize three-dimensional digital imaging data to create enhanced two-dimensional imaging data by omitting redundant elements, allowing for clearer visualization of relevant physical features through data processing and three-dimensional projection methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional two-dimensional projection imaging is used, then the imaging process is simple and fast, but redundant physical features obstruct the tissue of interest making diagnosis difficult
Solution Approach 1:
The patent segments the three-dimensional imaging data into different tissue types or anatomical structures, allowing selective visualization of relevant tissues while excluding redundant ones. This segmentation enables the imaging system to separate useful information from distracting background features, directly resolving the contradiction between information clarity and process simplicity.
Solution Approach 2:
The patent transitions from traditional two-dimensional projection imaging to enhanced two-dimensional imaging derived from three-dimensional data. By utilizing the third dimension (depth) to selectively omit redundant features before projecting back to two dimensions, the system recovers lost information about tissues of interest without maintaining the simplicity of direct two-dimensional acquisition.
2Loss of information
If three-dimensional imaging data is used to produce two-dimensional images, then more comprehensive information is available, but tissue of interest may still be obscured by redundant physical features
Solution Approach 1:
The patent extracts and removes data constituents related to redundant physical features from the three-dimensional imaging data before generating the enhanced two-dimensional image. This extraction process selectively eliminates distracting information while preserving and emphasizing data related to tissues of interest, thereby reducing information loss without requiring processing of all original data.
Solution Approach 2:
The patent applies different processing qualities to different regions of the three-dimensional data. Regions containing tissues of interest are processed with higher fidelity and emphasis, while regions containing redundant features are selectively omitted or downweighted. This local differentiation optimizes information retention while reducing overall data processing requirements.
3Measurement precision
If redundant elements are removed from three-dimensional imaging data, then enhanced two-dimensional images with clearer tissue visualization are produced, but additional data processing steps are required
Solution Approach 1:
The patent performs preliminary segmentation and identification of redundant physical features from the three-dimensional imaging data before the actual image generation process. By pre-processing the data to identify and mark redundant elements, the subsequent image generation step becomes more efficient, achieving high visualization clarity without proportionally increasing overall processing complexity.
Data Source
AI summary
An arrangement for provision of enhanced two-dimensional digital imaging data, the arrangement comprising at least one processor that is configured to obtain three-dimensional digital imaging data indicative of at least one physical feature, determine, based on said three-dimensional digital imaging data, data representing a three-dimensional model of at least one element that is partitioned from the three-dimensional digital imaging data, said element comprising at least one of said physical features, select one or more elements as redundant elements, and provide enhanced two-dimensional digital imaging data indicative of the at least one physical feature with the one or more redundant elements being essentially omitted from the two-dimensional imaging data based at least on the data representing a three-dimensional model of the at least one element and the selected redundant elements.