Stroke Characterization via Bone Scatter Correction
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Solution Overview
Problem
Current methods for stroke characterization in medical imaging face challenges in accurately and quickly identifying regions of interest, particularly due to radiation scattering from bone, which can lead to false-positive diagnoses.
Innovation Solution
The proposed solution involves preprocessing three-dimensional image data to compensate for radiation scattering from bone, converting it into a two-dimensional image, and then using a predictive model, such as a convolutional neural network, to identify regions of interest relevant for stroke characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional image data is used for stroke characterization, then the detail and accuracy of stroke detection is improved, but the complexity of image processing and the likelihood of false-positive diagnoses increase due to radiation scattering from bone
Solution Approach 1:
The patent segments the image processing into distinct stages: (1) identifying bone regions in the three-dimensional image data, (2) applying radiation scatter correction specifically to bone-affected areas, and (3) converting the corrected three-dimensional data into a two-dimensional representation for predictive model analysis. This segmentation allows complex processing to be broken down into manageable steps that address the radiation scattering issue while preserving stroke detection accuracy.
Solution Approach 2:
The patent extracts and removes the harmful effect of radiation scattering by identifying bone regions and applying correction adjustments specifically to those areas. The correction process extracts the scattered radiation component from the image data and removes it, thereby eliminating the source of false-positive diagnoses while maintaining the integrity of the stroke characterization information.
2Reliability
If radiation scatter correction is applied to compensate for bone effects, then false-positive diagnoses are reduced, but the processing time and computational resources increase
Solution Approach 1:
The patent applies radiation scatter correction as a preliminary action before the final stroke characterization analysis. By correcting the image data for radiation scattering effects in advance, the system prepares clean, accurate input data for the predictive model, thereby improving diagnosis reliability without delaying the overall diagnostic process. The correction is performed efficiently using the identified bone region masks.
3Ease of operation
If three-dimensional image data is converted to two-dimensional image, then the predictive model can process the data more effectively, but information may be lost during the conversion process
Solution Approach 1:
The patent creates a corrected two-dimensional representation of the three-dimensional image data that preserves the essential stroke characterization information. The conversion process generates a new two-dimensional image that copies the critical diagnostic features from the three-dimensional data while removing the harmful radiation scatter artifacts, thereby maintaining information integrity and improving model processing efficiency simultaneously.
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
This approach enhances the accuracy of stroke characterization by reducing the likelihood of false-positive diagnoses and allows for timely and effective treatment by providing a clear and identifiable region of interest, such as a hemorrhage, in the generated two-dimensional image.
Implementation Method 1
apply an adjustment to the image data to compensate for effects resulting from radiation scattered from the bone during acquisition of the image data
Data Source
AI summary
The invention discloses an apparatus for stroke characterization. The apparatus comprises a processor. The processor is configured to receive image data representing a three-dimensional image of a head of a subject; identify a region within the image data corresponding to bone in the head of the subject; apply an adjustment to the image data to compensate for effects resulting from radiation scattered from the bone during acquisition of the image data; generate a two-dimensional image based on the adjusted image data; and provide the generated two-dimensional image as an input to a predictive model to identify a region of interest for stroke characterization in the two-dimensional image.