Capsule Endoscope Image Sorting by Positional Track
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The interpretation of in-vivo images captured by a capsule endoscope is inefficient due to the large number of images and the need to specify abnormal positions within the subject, as existing methods do not effectively sort and display images based on the capsule's position and motion.
Innovation Solution
An information processing apparatus that receives and processes in-vivo image data from a capsule endoscope, using positional information to change the sorting sequence of images and calculate the capsule's track, allowing for efficient display and interpretation of images by associating image data with the capsule's position and motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If in-vivo images are sorted in imaging time sequence, then the images can be reviewed in chronological order, but it becomes difficult to specify the position of abnormalities and reduces interpretation efficiency
Solution Approach 1:
The patent introduces a spatial dimension (positional information) to the traditional temporal sorting (imaging time sequence) of in-vivo images. By organizing images along the capsule's movement trajectory through the digestive tract, the system creates a new sorting dimension that combines both temporal and spatial information, enabling interpreters to efficiently locate abnormalities while maintaining chronological context.
Solution Approach 2:
The patent uses positional information as an intermediary to bridge the gap between chronological image review and spatial localization. By calculating the capsule's position based on movement distance and organizing images according to this positional data, the system enables interpreters to quickly navigate to specific anatomical regions without losing the temporal sequence context.
2Quantity of substance
If the number of in-vivo images is large (about sixty thousand images), then comprehensive coverage of the digestive tract is achieved, but the interpretation task becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent segments the large set of sixty thousand images into smaller, position-based groups along the capsule's movement trajectory. By dividing the continuous image stream into discrete segments corresponding to different anatomical regions or movement intervals, the system enables interpreters to focus on specific segments rather than reviewing all images sequentially, dramatically improving interpretation efficiency.
Solution Approach 2:
The patent performs preliminary organization of images by position and movement distance before the interpretation process begins. By pre-calculating capsule positions and sorting images accordingly, the system prepares the data in an interpreter-friendly format that enables quick navigation and reduces the time required for actual abnormality detection.
3Ease of operation
If images are sorted without considering capsule position, then the sorting process is simple, but it becomes difficult to specify the location of abnormalities within the subject
Solution Approach 1:
The patent replaces manual or simple chronological sorting with an automated positioning system that uses movement distance calculations. By substituting the mechanical sorting process with computational methods that track capsule position based on image analysis and movement data, the system achieves both automated ease of operation and precise position specification.
Data Source
AI summary
An information processing apparatus includes a storage unit that stores data of the in-vivo images and information which is associated with the data of the in-vivo images and related to a position of a capsule endoscope in an inside of a subject; a positional information obtaining unit that obtains positional information of the capsule endoscope in capturing the in-vivo images based on the information related to the position; and a sequence changing unit that changes a sorting sequence of the in-vivo images based on the positional information obtained by the positional information obtaining unit.


