MRI Simulator Data Generation via Hardware Instruction Copying
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Solution Overview
Problem
Current MRI simulators fail to precisely reproduce the behavior of actual MRI apparatuses, leading to reproducibility issues when using simulation data as training data in machine learning applications.
Innovation Solution
A data generation apparatus that converts user operation instructions into internal hardware control instructions, enabling precise physical simulations and generating simulation data that can be used to train machine learning models, thereby improving the reproducibility of simulation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pulse sequences are designed for MRI simulator, then simulation can be performed, but reproducibility of simulation data relative to actual MRI apparatus data deteriorates
Solution Approach 1:
The patent copies the actual MRI apparatus's internal instructions and hardware control mechanisms into the simulation environment. By replicating the exact instruction sets, timing sequences, and control logic from the real apparatus, the simulator produces data that accurately reproduces actual MRI scanner behavior, resolving the reproducibility issue while maintaining simulation capability
Solution Approach 2:
The patent transforms the simulation approach by changing key parameters from generic pulse sequence definitions to specific hardware control instructions including timing parameters, gradient waveforms, RF pulse characteristics, and receiver settings. This parameter transformation enables the simulator to match actual apparatus behavior while preserving simulation functionality
2Ease of operation
If generic pulse sequences are used in simulator, then simulation operation is simplified, but accuracy of reproducing actual MRI apparatus behavior deteriorates
Solution Approach 1:
The system copies the complete instruction set from actual MRI apparatus operation into the simulator, including detailed timing information, gradient profiles, RF pulse sequences, and receiver parameters. This copying approach maintains operational simplicity while achieving high fidelity reproduction of actual apparatus behavior
Solution Approach 2:
The patent introduces an intermediary layer that translates actual MRI apparatus instructions into simulation parameters. This intermediary translation layer preserves the simplicity of operation by accepting standard pulse sequence inputs while internally converting them into detailed hardware control instructions that accurately reproduce actual apparatus behavior
Data Source
AI summary
According one embodiment, a data generation apparatus includes processing circuitry. The processing circuitry is configured to obtain an operation instruction based on a user operation on an image diagnostic apparatus or an image diagnostic apparatus simulator. The processing circuitry is configured to convert the operation instruction into an internal instruction relating to hardware control of the image diagnostic apparatus or the image diagnostic apparatus simulator from which the operation instruction has been obtained. The processing circuitry is configured to generate simulation data by executing a physical simulation using the internal instruction.