Image Processing Apparatus for Accurate Dipole Analysis
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Solution Overview
Problem
Conventional image processing methods for integrating multiple modality data, such as magnetoencephalography and MR images, often result in positional mismatches during dipole estimation, leading to inaccuracies in displaying and analyzing brain activity data.
Innovation Solution
An image processing method that extracts candidate modality images, associates separate modality data with these images, and displays the associated data accurately, using techniques like dipole estimation and spatial filtering to ensure correct alignment and visualization of brain activity data without mismatches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple modality data are integrated and displayed using conventional association methods, then the quantity of data processed increases, but positional mismatches occur between dipole information and MR image data
Solution Approach 1:
The patent applies preliminary action by performing coordinate transformation on dipole information before association. The dipole coordinates are transformed from the MEG coordinate system to the MR image coordinate system in advance, ensuring that positional information is correctly aligned before the actual association and display processes occur. This prevents positional mismatches from occurring in the first place.
Solution Approach 2:
The patent uses coordinate transformation as an intermediary process between the MEG data and MR image data. By introducing the coordinate transformation step that converts dipole coordinates to MR image coordinates, it mediates the association between two different coordinate systems, enabling accurate positional alignment without direct mismatched association.
2Reliability
If dipole analysis is performed on multiple pieces of modality data, then the comprehensiveness of analysis increases, but the time required for processing increases
Solution Approach 1:
The patent applies preliminary action by performing coordinate transformation on dipole information before association, which streamlines the subsequent association process. By preparing the coordinate systems in advance, the system reduces the computational burden during the actual association and display phases, thereby decreasing overall processing time while maintaining comprehensive analysis capabilities.
3Measurement precision
If precise coordinate transformation is performed for dipole association, then the accuracy of dipole estimation improves, but the computational complexity increases
Solution Approach 1:
The patent performs coordinate transformation as a preliminary step before association, which simplifies the main association process. By transforming dipole coordinates to MR image coordinates in advance, the system ensures accurate dipole estimation without requiring complex real-time transformation calculations during association, thus managing computational complexity effectively.
Data Source
AI summary
An image processing method includes: extracting a candidate modality image to be visualized from a data group of a single or a plurality of modality images; first associating separate modality data referring to an extracted modality image, with the extracted modality image; uniquely determining an image to be visualized, based on the modality image extracted at the extracting and an association result of the first associating; second associating different modality data being not associated at the first associating, with the modality image extracted at the extracting; and displaying the different modality data on the modality image extracted at the extracting.