Merging 3D Analysis and Image Data via Resolution Matching
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Solution Overview
Problem
Current methods for analyzing tissue samples struggle to accurately merge three-dimensional analysis data records with three-dimensional image data records, particularly due to differences in resolution and the inability to meaningfully establish context with pre-examination image data records, limiting diagnostic relevance and accuracy.
Innovation Solution
A method is developed to transform analysis data into intermediate data matching the resolution of image data records, allowing for registration and merging of three-dimensional analysis and image data records using a registration rule, which includes reducing analysis data resolution to match image data resolution and simulating imaging processes to align tissue data with image modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analysis data is transformed into intermediate data with reduced resolution to match image data resolution, then registration accuracy is improved, but information loss occurs
Solution Approach 1:
The analysis data is segmented into multiple resolution levels. The high-resolution analysis data is processed to create intermediate data at the resolution level of the image data, allowing registration to be performed at the appropriate resolution level while preserving the ability to access high-resolution details when needed.
Solution Approach 2:
The patent introduces an intermediate representation dimension that bridges the gap between high-resolution analysis data and lower-resolution image data. This intermediate data layer enables registration without directly comparing incompatible resolution levels, effectively adding a dimensional layer to the data hierarchy.
2Adaptability or versatility
If three-dimensional analysis data record is merged with three-dimensional image data record, then diagnostic capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces intermediate data as a mediator between the analysis data record and image data record. This intermediate representation enables the merging of three-dimensional data from different modalities by first transforming the analysis data into a format compatible with image data, thereby facilitating the diagnostic capability without requiring direct complex integration of all data types.
3Adaptability or versatility
If resolution of analysis data is reduced to match image data resolution, then compatibility is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent implements a dynamic resolution approach where the analysis data can be transformed to different resolution levels as needed. The system can adapt the resolution of analysis data to match the resolution requirements of different image data modalities, allowing the same high-precision analysis data to be compatible with various imaging systems without permanently sacrificing precision.
Data Source
AI summary
A method for merging a three-dimensional analysis data record of a tissue sample of a patient with a three-dimensional image data record of the patient indicating, prior to removal, the removal area of the tissue sample. The method includes registering a three-dimensional intermediate data record of the three-dimensional analysis data record. The registering includes transforming analysis data of the three-dimensional analysis data record into intermediate data, corresponding to image data recorded with a modality with which the three-dimensional image data record has been recorded and including a resolution reduced, to determine the three-dimensional intermediate data record corresponding, in terms of resolution, to the image data record; and registering the three-dimensional intermediate data record with the three-dimensional image data record. Finally, the method includes merging the three-dimensional analysis data record and the three-dimensional image data record using a registration rule obtained during the registering of the three-dimensional intermediate data record.