Dental Scan ROI Detection for Accurate Abutment Selection

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Solution Overview

Problem

Manual setting of regions of interest in scan data for dental implants is inconvenient and inaccurate, particularly when abutments are attached to jigs with adhesive members, necessitating improved automation for accurate region selection.

Innovation Solution

An image processing method and apparatus that automatically sets a region of interest in scan data by determining diameters from an uppermost point to specific distances, distinguishing the region of interest from other areas, and displaying it clearly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual setting of region of interest is performed, then user can select abutment region, but user convenience deteriorates and selection accuracy deteriorates

Engineering Contradiction:
Improveabutment region selection accuracyVSAvoiduser convenience
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically identifies and selects the abutment region by detecting the adhesive member and jig in the scan data, eliminating the need for manual user selection. The processor autonomously determines the region of interest based on detected features, allowing the system to serve itself rather than requiring user intervention for region selection.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary detection of the adhesive member and jig before final region selection. By pre-identifying these components and calculating their centroids and bounding boxes, the system prepares the necessary information to automatically define the abutment region without requiring real-time manual input from the user.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If manual selection of abutment region is required, then system can process scan data, but processing time increases and efficiency decreases

Engineering Contradiction:
Improveimage processing efficiencyVSAvoidregion setting time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical selection process with an automated computational detection system. Instead of requiring users to visually inspect and manually select regions, the system uses image processing algorithms to automatically detect the adhesive member, calculate centroids, determine bounding boxes, and identify the abutment region, thereby eliminating time-consuming manual operations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The processor acts as an intermediary between the scan data and the region of interest selection. It automatically processes the scan data, detects relevant features (adhesive member and jig), calculates geometric parameters (centroids, bounding boxes), and determines the final region without requiring direct user intervention, thus streamlining the workflow and improving efficiency.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250384649A1Image processing apparatus and image processing method
Publication Date: 2025.12.18 MEDIT CORP
  • US20250384649A1 patent drawing
  • US20250384649A1 patent drawing
  • US20250384649A1 patent drawing

AI summary

Disclosed embodiments relate to an image processing method and an image processing apparatus. The image processing method according to an embodiment may include obtaining scan data generated by scanning a target object including an object of interest, automatically setting a region of interest corresponding to the object of interest, in the scan data, and displaying the region of interest.