Parameterized Tooth Model Segmentation for Dental Scan Data

The patent applies preliminary action by pre-defining parameterized tooth models with embedded boundary line patterns before actual scan data analysis. These models contain prior morphological knowledge about typical tooth structures, segmentation lines, and preparation lines. When analyzing scan data, the system matches the scan against these pre-configured models, allowing automated identification of boundary lines without requiring operators to manually define each line during the analysis process.

The patent uses copying by creating parameterized representations (models) of tooth structures that can be adapted to match actual scan data. These parameterized tooth models serve as templates that are copied and adjusted to fit the specific geometry of scanned teeth. The models include embedded boundary line definitions that are copied from the parameterized structure and automatically positioned in the scan data based on morphological matching, reducing the need for manual operator intervention.

The patent implements self-service by enabling the geometric analysis system to automatically perform segmentation and boundary line detection without requiring continuous operator intervention. The parameterized tooth models contain embedded morphological knowledge that allows the system to autonomously match scan data features, identify segmentation lines, and determine preparation lines. The automated matching process compares scan geometry against the parameterized model patterns and independently generates segmentation results, making the system self-sufficient for routine analysis tasks.

The patent applies preliminary action by pre-configuring parameterized tooth models with embedded boundary line patterns and morphological knowledge before the analysis process. These pre-defined models contain typical tooth structure patterns, segmentation line locations, and preparation line characteristics that are prepared in advance. During scan analysis, the system directly applies these pre-configured models to automatically segment the scan data, eliminating the need for operators to manually define segmentation parameters during the analysis process.

The patent applies parameter changes by using parameterized tooth models where geometric properties are defined through adjustable parameters rather than fixed geometry. The boundary lines in these models are parameterized, allowing their positions and orientations to be dynamically adjusted based on matching the scan data. This parameterization enables the system to adapt standard tooth models to individual patient anatomy by modifying parameters such as tooth size, shape, and boundary line locations, achieving automation without requiring complex custom models for each case.

The patent applies segmentation by dividing the complex task of geometric analysis into separate functional components: tooth model selection, parameter adjustment, boundary line identification, and segmentation execution. The parameterized tooth models themselves are segmented into distinct structural elements (enamel, dentin, pulp chambers, boundary lines) that can be independently analyzed and matched against scan data. This modular segmentation of the analysis process reduces system complexity by allowing each component to be developed and optimized independently.