Digital Twin Diagnostic Imaging for Radiation Error Correction
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Solution Overview
Problem
Existing medical imaging techniques face challenges in high-fidelity image reconstruction due to radiation-tissue interactions and a shortage of trained medical professionals, exacerbated during pandemics, leading to the need for improved diagnostic assistance.
Innovation Solution
A computer-implemented digital twin simulation of medical diagnostic systems is used to generate and process diagnostic data, approximating real-world interactions of high-energy particles with tissue, and is integrated with machine-based classifiers to facilitate accurate medical diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional medical imaging techniques are used for diagnosis, then image data can be obtained, but image fidelity is degraded due to radiation-tissue interactions and systematic errors
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the medical diagnostic system that replicates the physical system's behavior. This digital replica generates synthetic diagnostic data that mirrors real patient data, allowing for corrected image reconstruction without exposing actual patients to additional radiation or suffering from the same systematic degradation. The digital twin copies the system's response characteristics to produce faithful representations for diagnostic improvement.
2Measurement precision
If more trained medical professionals are deployed to improve diagnosis, then diagnostic accuracy improves, but resource constraints and pandemic pressures make this unsustainable
Solution Approach 1:
The patent introduces an intermediary system (digital twin with machine-based classification) that mediates between the physical medical diagnostic system and the final diagnostic interpretation. This intermediary automatically processes and analyzes diagnostic data, providing assistance to medical professionals without requiring additional human resources. The digital twin acts as a bridge that enhances diagnostic capability while working within existing resource constraints.
3Measurement precision
If complex correction algorithms are applied to improve image reconstruction, then image fidelity improves, but system complexity and processing requirements increase
Solution Approach 1:
Rather than directly correcting complex systematic errors in the physical system, the patent copies the system's behavior into a digital twin where corrections can be applied more efficiently. The digital replica encapsulates the complex correction logic, allowing sophisticated image reconstruction algorithms to run in the virtual environment without adding equivalent complexity to the physical diagnostic system. This separates the complexity of correction from the complexity of the core diagnostic function.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The digital twin enhances image reconstruction by correcting for systematic errors and provides diagnostic assistance, enabling more accurate and efficient medical diagnosis, particularly in resource-constrained situations.
Implementation Method 1
the radiation-tissue interactions are either absorption and/or scattering of the radiation
Implementation Method 2
the radiation-tissue interactions are either absorption and/or scattering of the radiation
Data Source
AI summary
This invention relates to methods and systems relating to medical diagnostics. In particular, the invention relates to a method of processing data from a medical diagnostic system which comprises a detector arrangement configured to detect interaction of high energy particles with tissue. The method comprises receiving diagnostic data associated with interaction of high energy particles with tissue, wherein the diagnostic data is generated as a result of interaction of the high energy particles and the tissue being detected by the detector arrangement of the medical diagnostic system. The method further comprises processing the received diagnostic data with a trained machine-based classifier in order to facilitate and/or assist a medical diagnosis, wherein the trained machine-based classifier is trained at least with digital diagnostic data generated by a digital twin of the medical diagnostic system, wherein the digital twin is a computer-implemented simulation of at least part of the medical diagnostic system.