Myocardial Cell Identification via Motion Magnitude Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image analysis technologies fail to accurately identify and group myocardial cells from time-series images, often misinterpreting motion of other image elements as myocardial cell pulsations and incorrectly separating or grouping cells.
Innovation Solution
An image analysis device and method that calculates the magnitude of motion and feature quantities from time-series images of pulsating myocardial cells, using these calculations to identify and group image elements accurately, employing a first calculating part for motion magnitude, a second calculating part for feature quantity calculation, and an identifying part to determine the presence of myocardial cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image analysis technology is used to detect motion in time-series images, then the pulsations of myocardial cells can be detected, but other image elements' motions are mistakenly recognized as myocardial cell pulsations, reducing identification accuracy
Solution Approach 1:
The patent applies local quality by analyzing motion characteristics specifically within the region of interest (myocardial cell) rather than treating the entire image uniformly. The system calculates motion vectors and evaluates their reliability based on local image features and motion patterns, allowing accurate identification of myocardial cell pulsations while filtering out motions from other image elements.
2Measurement precision
If motion detection is performed on time-series images, then myocardial cell pulsations can be identified, but one myocardial cell may be separated into multiple regions or multiple cells may be detected as one region
Solution Approach 1:
The patent employs merging by combining multiple motion detection results and evaluating their consistency to determine whether detected motion regions correspond to single or multiple myocardial cells. The system integrates motion vectors from different image elements and uses reliability evaluation to properly group or separate cells, preventing incorrect fragmentation or consolidation of cell regions.
3Productivity
If automatic cell selection is implemented for safety assurance and manufacturing efficiency, then the cell selection process can be automated, but the complexity of the system increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform cell selection based on motion analysis without requiring manual intervention. The automated system evaluates motion characteristics, identifies myocardial cells, and selects target cells independently, thereby improving manufacturing efficiency while the modular design keeps system complexity manageable.
Data Source
AI summary
An image analysis device includes a first calculating part that calculates a magnitude of motion of an image element from time-series images of pulsating myocardial cells, a second calculating part that calculates a feature quantity on the basis of the magnitude of the motion of the image element calculated by the first calculating part, and an identifying part that identifies whether the image element is a predetermined image element on the basis of the feature quantity calculated by the second calculating part.