Multi-Modality Image Generation via AI Modality Conversion
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Solution Overview
Problem
In radiotherapy diagnosis, multiple scans are typically required to obtain images of different modalities, which can cause serious harm to the patient due to the accumulation of radiation doses.
Innovation Solution
A method for generating a multi-modality image is provided, which involves obtaining a first modality image of a patient injected with a tracer and performing a modality conversion to generate a multi-modality image, thereby reducing the need for multiple scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple scans are performed to obtain images of different modalities, then the comprehensiveness of imaging information is improved, but the radiation dose accumulation harms the patient
Solution Approach 1:
The patent uses a trained conversion model to generate synthetic images of different modalities from a single actual scan. Instead of performing multiple physical scans, the system creates copies of the imaging information through AI-based modality conversion, thereby obtaining comprehensive multi-modality imaging data while avoiding repeated radiation exposure to the patient
Solution Approach 2:
The conversion model serves multiple functions: it can transform a single input image into multiple different modality images (CT to MRI, PET to CT, etc.). This multi-functional capability allows the system to obtain diverse imaging information from a single scan, eliminating the need for multiple specialized scanning procedures and reducing overall radiation dose
2Measurement precision
If multiple scans are performed to obtain images of different modalities, then the accuracy of radiotherapy diagnosis is improved, but the treatment time and complexity increase
Solution Approach 1:
The system performs preliminary training of the conversion model using paired multi-modality images before actual use. Once trained, the model can rapidly convert single-modality images to multi-modality images during diagnosis, eliminating the need to perform multiple scans at the time of examination and significantly reducing patient waiting time
Solution Approach 2:
The patent replaces the mechanical scanning process with an AI-based image conversion process. Instead of physically scanning the patient multiple times with different equipment settings, the system uses computational algorithms to generate equivalent imaging data, thereby reducing both time and mechanical complexity while maintaining diagnostic accuracy
Data Source
AI summary
A method for generating the multi-modality image, including obtaining a first modality image of an object to be radiotherapy, where the first modality image is an image generated for the object to be radiotherapy injected with a tracer; and performing a modality conversion on the first modality image to obtain the multi-modality image of the object to be radiotherapy.