Interpolation Image Index Value Reflection for Diagnostic Accuracy
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Solution Overview
Problem
Current image diagnosis methods using interpolation images are inaccurate due to the lack of actual imaging of the tomographic plane, making it difficult to determine the structure of the subject, especially in cases where the slice interval cannot be reduced, leading to inefficient and inaccurate examinations.
Innovation Solution
An image diagnosis support apparatus that generates an interpolation image from an original image using a convolutional neural network and calculates an index value indicating the feature of a pixel position in a region of interest, which is then reflected in the original image, allowing for accurate and efficient examination by combining information from both the original and interpolation images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the slice interval is reduced to improve imaging resolution, then the slice resolution is improved, but the imaging time is increased and the amount of exposure of the subject is increased
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing attenuation coefficient distribution data during the imaging process. This pre-computed information is then used during image generation to create high-resolution images without requiring additional imaging time, effectively resolving the contradiction between resolution and imaging time.
Solution Approach 2:
The patent introduces an intermediary approach by using interpolation based on attenuation coefficient distribution to generate high-resolution images. This intermediary method allows the system to achieve fine slice resolution without actually acquiring data at those fine intervals, thus avoiding the increase in imaging time and exposure.
2Manufacturing precision
If the slice interval is reduced to improve imaging resolution, then the slice resolution is improved, but the amount of exposure of the subject is increased
Solution Approach 1:
The patent uses preliminary action by pre-computing attenuation coefficient distributions during the imaging process. This pre-calculated information enables the generation of high-resolution images without requiring additional imaging acquisitions, thereby avoiding increased radiation exposure to the subject.
Solution Approach 2:
The patent applies copying by creating virtual high-resolution images through interpolation based on attenuation coefficients. Instead of acquiring actual high-resolution data through additional imaging (which would increase exposure), the system generates copies of the image data at higher resolution using computational methods.
3Manufacturing precision
If interpolation is used to improve slice resolution, then the slice resolution is improved, but the accuracy of examination is reduced because the interpolation image does not show the actual structure
Solution Approach 1:
The patent introduces an intermediary approach by using attenuation coefficient distribution as a mediator between the acquired image data and the final high-resolution images. This intermediary representation preserves anatomical accuracy while enabling interpolation to generate high-resolution images, thus maintaining both improved resolution and examination accuracy.
Solution Approach 2:
The patent applies parameter changes by transforming the image data into attenuation coefficient space, performing interpolation in this transformed domain, and then converting back to image space. This parameter transformation allows accurate interpolation that preserves the actual anatomical structures while achieving high resolution.
Data Source
AI summary
An interpolation unit generates an interpolation image from an original image. An index value calculation unit calculates an index value indicating the feature of a pixel position in a region of interest of the original image based on pixel values of corresponding pixel positions, which are a plurality of pixel positions of the interpolation image, corresponding to the pixel position included in the region of interest in the original image. A reflection unit reflects the index value calculated by the index value calculation unit at the pixel position of a bleeding region of the original image.