Medical Imaging Artifact Compensation via Dual-Device Calibration
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Solution Overview
Problem
Medical imaging devices often produce image artifacts due to limited field of view, leading to disruptions in image quality, particularly 'wrap-around' artifacts in magnetic resonance tomography and 'truncation' artifacts in computed tomography, when body regions protrude beyond the imaging zone.
Innovation Solution
A method involving two medical imaging devices, where one device acquires data for a limited field of view and the other for a broader view, using a calibrated model to simulate and correct for artifacts by integrating information from both systems, reducing noise and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a limited field of view is used in medical imaging, then the imaging device can focus on a specific subregion, but image artifacts occur when body regions protrude beyond the imaging zone
Solution Approach 1:
A calibrated 3D model of the patient's anatomy serves as an intermediary between the limited field of view and the actual body regions outside it. The model is used to simulate and predict the appearance of body regions protruding beyond the field of view, allowing artifact compensation without expanding the physical imaging zone. This mediator enables the system to account for out-of-view regions while maintaining the original field of view constraints.
Solution Approach 2:
The system performs preliminary calibration to create an accurate 3D model of the patient's anatomy before conducting the actual medical imaging. This pre-acquisition modeling allows the system to predict and compensate for artifacts that would arise from body regions outside the field of view, rather than dealing with artifact correction after image acquisition.
2Device complexity
If a single medical imaging device with limited field of view is used, then device complexity is reduced, but image quality deteriorates due to artifacts from out-of-view regions
Solution Approach 1:
The medical imaging device is enhanced with multi-functionality by integrating a calibration system that creates 3D anatomical models and a simulation capability that predicts artifact patterns. This allows a single device to perform both standard imaging and artifact compensation functions, eliminating the need for multiple specialized devices while maintaining high image quality.
3Object-affected harmful factors
If the field of view is expanded to include all body regions, then artifacts are eliminated, but the imaging resolution and detail in the primary region of interest deteriorate
Solution Approach 1:
The system creates a computational copy or simulation of what out-of-view body regions would appear as in the image. By generating this virtual representation through the calibrated 3D model, the system can subtract or compensate for artifact contributions without physically expanding the field of view or reducing the imaging resolution in the primary region of interest.
Data Source
AI summary
A method compensates for image artifacts in a first imaging device for imaging a first subregion of a body. The image artifacts are caused by a second subregion of the body being disposed outside of a first field of view for the first device. First measured data for the first field of view is acquired by the first device. The first subregion lies in the first field of view. Second measured data are acquired for a second field of view in a second imaging device. Image data representing the subregions in the second device are calculated from the second measured data. A model representing the subregions is calibrated using the calculated image data. The data representing the second subregion in the first device are simulated using a calibrated model. A correction of the first measured data is performed using simulated data for reducing the image artifacts.