Dynamic Image Analysis Apparatus for Radiation Imaging
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Solution Overview
Problem
Current radiation imaging technologies struggle to capture and analyze changes over time in dynamic images of a target site within a single imaging occasion, limiting their flexibility and usefulness for varied diagnostic perspectives.
Innovation Solution
A dynamic image analysis apparatus and method that involves tagging and classifying dynamic images from radiation imaging, extracting feature amounts, calculating change amounts over time, and selecting related images for comparison, allowing for the display of changes over time in frame images and feature amounts between different imaging occasions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If typical radiation imaging is used to capture instantaneous images at different points in time, then the change over time in the state of the target site can be understood among multiple images, but it is difficult to capture the change over time within one occasion of imaging
Solution Approach 1:
The patent applies dynamics by transitioning from static instantaneous imaging to dynamic continuous imaging. The imaging system captures a series of frame images over time within a single imaging occasion, enabling the observation of temporal changes in the target site without requiring multiple separate imaging sessions. This dynamic approach allows the system to record the progression of physiological processes or pathological changes continuously.
Solution Approach 2:
The patent implements preliminary action by pre-processing and storing multiple frame images captured during one imaging occasion. The system prepares these images in advance by organizing them temporally and spatially, extracting feature amounts from each frame, and calculating change amounts between frames. This preliminary preparation enables efficient later analysis and comparison without requiring re-imaging.
2Adaptability or versatility
If the purpose of use and purpose of examination in images of existing typical radiation imaging is established, then the information provided for diagnosis is fixed to a certain degree, but it is difficult to flexibly use the images for other purposes
Solution Approach 1:
The patent applies segmentation by dividing the dynamic image data into multiple independent frame images, each with its own feature amounts extracted. This segmentation allows individual frames or combinations of frames to be selected and analyzed for different diagnostic purposes. The system can extract various feature amounts from different frames and compare them to provide information for multiple diagnostic questions from the same imaging data.
Solution Approach 2:
The patent implements universality by creating a multi-functional image analysis system that can serve multiple diagnostic purposes from a single imaging occasion. The system extracts feature amounts that can be used for various types of analysis including temporal changes, spatial distribution, and comparative diagnostics. This universal approach allows the same imaging data to be reused for different diagnostic questions without requiring additional imaging.
3Measurement precision
If feature amounts are extracted from one or more frame images and change amounts are calculated, then the change over time can be displayed, but the system must handle and process large amounts of image data
Solution Approach 1:
The patent applies the extraction principle by selectively extracting specific feature amounts from frame images rather than processing all image data. The system identifies and extracts relevant features such as position, shape, intensity, or other diagnostic parameters from each frame, and calculates change amounts only for these extracted features. This selective extraction reduces the computational burden while maintaining measurement precision for the most diagnostically relevant parameters.
Data Source
AI summary
A dynamic image analysis apparatus includes a hardware processor and a display. The hardware processor performs tagging for classifying. The hardware processor extracts a feature amount from frame images and calculates a change amount in a time direction of the feature amount. When a second dynamic image is input, the hardware processor selects an extractable feature amount from a related dynamic image which is the first dynamic image determined to be related with the second dynamic image, the first dynamic image and the second dynamic image. The display is capable of displaying a change over time in the frame images included in one occasion of imaging of the dynamic image, the change over time between the second dynamic image and the selected related dynamic image and the change over time between the feature amount extracted from the second dynamic image and the feature amount extracted from the related image.