3D Model Generation for TTFields Transducer Placement
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Solution Overview
Problem
The generation of a three-dimensional model of a patient's body for effective positioning of Tumor Treating Fields (TTFields) transducers is hindered by incomplete or inconsistent image data, such as missing body portions, insufficient resolution, or different image modalities.
Innovation Solution
A computer-implemented method that receives and modifies image data from different modalities to generate a three-dimensional model, using predictive modeling and artificial intelligence techniques like Generative Adversarial Networks to convert and combine image data from various sources, ensuring a complete and accurate representation of the patient's body for transducer placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image data from different modalities is used to generate a three-dimensional model, then the completeness of the model is improved, but the consistency and accuracy of the model deteriorate due to modality differences
Solution Approach 1:
The patent uses an intermediary conversion process that transforms image data from a second modality into the characteristics of a first modality. This intermediary step allows data from different modalities (e.g., MRI and CT) to be integrated into a unified three-dimensional model while maintaining consistency with the primary modality's characteristics, thereby resolving the contradiction between model completeness and data consistency.
Solution Approach 2:
The patent applies parameter changes by modifying the characteristics of image data from one modality to match another modality's parameters. This transformation process adjusts resolution, contrast, and other imaging parameters to ensure that combined image data from multiple modalities can be seamlessly integrated into a consistent three-dimensional model.
2Quantity of substance
If image data with insufficient resolution is used, then the availability of image data is improved, but the manufacturing precision of the three-dimensional model deteriorates
Solution Approach 1:
The patent applies preliminary action by performing resolution enhancement and image quality improvement processes before the three-dimensional model generation. This preprocessing step ensures that even if the input image data has insufficient resolution, the enhanced data will provide adequate precision for accurate transducer placement planning.
3Area of stationary object
If image data for different body portions is used, then the coverage of the model is improved, but the homogeneity of image modality deteriorates
Solution Approach 1:
The patent uses an intermediary conversion process to transform image data from different body portions that may have been acquired in different modalities into a unified modality. This allows comprehensive body coverage while maintaining modality uniformity throughout the three-dimensional model, enabling consistent transducer placement across all body regions.
Data Source
AI summary
A computer-implemented method to generate a three-dimensional model, wherein the computer comprises one or more processors and memory accessible by the one or more processors, and the memory stores instructions that when executed by the one or more processors cause the computer to perform the computer-implemented method, includes: receiving first image data of a first portion of the patient's body in a first image modality, receiving second image data of a second portion of the patient's body in a second image modality, modifying the second image data from the second image modality to the first image modality, and generating, based on the first image data in the first image modality and the modified second image data in the second image modality, a three-dimensional model of the first portion and the second portion of the patient's body.