Imaging Distortion Compensation via Orientation-Dependent Characterization
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Solution Overview
Problem
Distortion in imaging caused by distorting features, such as implants or complex structures, limits the accuracy and clarity of images obtained from distortion susceptible imaging devices like MRI and X-ray, leading to degraded image quality and reduced diagnostic effectiveness.
Innovation Solution
A distortion compensator system that characterizes the distortion caused by distorting features using orientation-dependent imaging information, modifies the imaging modality's output to compensate for distortions, and applies corrective measures to maintain image quality by adjusting magnetic fields or particle bombardment techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging is performed using distortion susceptible imaging devices like MRI and X-ray, then diagnostic information can be obtained, but image quality and diagnostic effectiveness are degraded due to distortion caused by implants or complex structures
Solution Approach 1:
The system performs preliminary characterization of the distorting feature before actual imaging. By pre-acquiring orientation-dependent imaging information about the implant or complex structure, the system can predict and compensate for distortion effects in advance, improving measurement precision without requiring repeated imaging attempts
Solution Approach 2:
The system uses feedback from the characterized distortion properties to adjust the imaging process. By continuously comparing expected distortion patterns with actual imaging results and applying corrective transformations based on the orientation-dependent characterization data, the system compensates for distortion effects and restores image accuracy
2Reliability
If conventional imaging techniques are used without compensation, then imaging process is simple and quick, but image clarity and reliability are reduced around implants and complex structures
Solution Approach 1:
The system introduces an intermediary characterization step that bridges the gap between conventional imaging and distortion-free results. By using the orientation-dependent imaging information as an intermediary dataset, the system can transform and correct the original images without fundamentally changing the imaging hardware or process, thus improving reliability while limiting the increase in system complexity
Solution Approach 2:
The system creates a computational model or map of the distortion effects based on the characterized orientation-dependent properties. This distortion map serves as a copy or representation of the distortion pattern, which can then be applied to correct multiple images without requiring repeated physical measurements or complex hardware modifications
3Measurement precision
If distortion compensation is applied using orientation-dependent imaging information, then image quality and diagnostic accuracy are improved, but imaging process time and computational requirements increase
Solution Approach 1:
The system performs the computationally intensive characterization of distortion properties in advance, before actual diagnostic imaging is performed. By pre-acquiring and storing orientation-dependent imaging information about the distorting feature, the system reduces the computational burden during time-critical diagnostic imaging, improving image clarity while minimizing additional process time
Solution Approach 2:
The system applies distortion compensation selectively based on the specific diagnostic needs and the presence of distorting features. Rather than applying full compensation processing to every image unconditionally, the system adjusts the level of compensation applied, performing detailed correction only when and where distortion is present, thus improving image clarity in affected regions while reducing overall processing time
Data Source
AI summary
Certain aspects can relate to obtaining at least some input compensating information at least partially based on the distortion characterizing imaging information that when applied to an imaging modality used to obtain the at least one image information can limit distortions to the at least the portion of the at least one image information resulting from at least a portion of at least one distorting feature, wherein the at least some input compensating information is characterized based at least in part on the at least one relative orientation of the at least the portion of the at least one distorting feature relative to the at least one image information.