Partial Surface Generation for Volumetric Data Registration
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Solution Overview
Problem
Existing methods for generating surface data from volumetric data often include internal structures and hidden surfaces, leading to slow and inaccurate registration processes, especially in medical imaging, where internal structures can cause improper reconstruction and sub-optimal registration.
Innovation Solution
The method involves processing volumetric data in conjunction with spatial information to generate partial surfaces that are visible to the surface topology imaging system, eliminating internal structures and increasing the similarity between volumetric and surface topology datasets, thereby improving registration speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full surface generation from volumetric data is performed, then complete surface coverage is achieved, but registration speed and accuracy deteriorate due to inclusion of internal structures and hidden surfaces
Solution Approach 1:
The patent segments the complete surface into multiple partial surfaces, each corresponding to a specific viewpoint or region. This segmentation allows the system to process and register only relevant surface portions rather than the entire surface, thereby improving registration accuracy while reducing computational complexity and eliminating irrelevant internal structures.
Solution Approach 2:
The patent extracts only the visible surface portions from the volumetric data that are relevant to the surface topology imaging system. By taking out and processing only these specific partial surfaces rather than the complete surface, the system achieves faster and more accurate registration while excluding internal structures and hidden surfaces that would otherwise degrade performance.
2Reliability
If complete surface data is processed, then comprehensive coverage is achieved, but computational time and resources increase
Solution Approach 1:
The patent applies partial action by processing only the necessary partial surfaces required for reliable registration rather than the complete surface. This selective processing maintains registration reliability by focusing on relevant visible portions while significantly reducing computational time and resource requirements.
3Measurement precision
If all volumetric surface data is used, then complete object representation is achieved, but similarity to surface topology data decreases due to internal structures
Solution Approach 1:
The patent applies local quality by generating partial surfaces with properties specifically tailored to match the surface topology imaging system's viewpoint. Each partial surface is locally optimized to represent only the visible portions from the relevant angle, thereby increasing similarity to the acquired surface data and improving registration efficiency by eliminating internal structures.
Data Source
AI summary
The present disclosure relates to the generation of partial surface models from volumetric datasets for subsequent registration of such partial surface models to surface topology datasets. Specifically, given an object that is imaged using surface topology imaging and another volumetric modality, the volumetric dataset is processed in combination with an approach viewpoint to generate one or more partial surfaces of the object that will be visible to the surface topology imaging system. This procedure can eliminate internal structures from the surfaces generated from volumetric datasets, thus increases the similarity of the dataset between the two different modalities, enabling improved and quicker registration.