Endo-robot Image Registration for Virtual Endoscopy

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Solution Overview

Problem

Endoscopic procedures often cause discomfort and risk internal damage due to mechanical manipulation, and virtual endoscopy can lead to false positives and unneeded invasive biopsies.

Innovation Solution

A system and method that uses endo-robots to capture images within the body, registering their position, orientation, and longitudinal distance to a 3D volume, allowing for accurate image association with areas of interest and improved diagnosis through virtual endoscopy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If mechanical endoscopy is used for internal examination, then diagnostic capability is improved, but patient discomfort and risk of internal damage increase

Engineering Contradiction:
Improvediagnostic capabilityVSAvoidpatient discomfort and internal damage risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent replaces mechanical endoscopic systems with a magnetic field-based robotic system. The endo-robot uses magnetic fields for actuation and positioning, eliminating the need for direct mechanical manipulation through the patient's body. This substitution maintains diagnostic capability while reducing mechanical trauma and patient discomfort.

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

Solution Approach 2:

The patent introduces magnetic fields as an intermediary between the operator and the endo-robot. The magnetic coupling mechanism allows force transmission and positioning control without direct mechanical contact, serving as a mediator that enables precise control while minimizing harmful mechanical effects on the patient.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If virtual endoscopy is used for exploration, then patient discomfort is reduced, but false positives and misdiagnoses increase

Engineering Contradiction:
Improvepatient discomfortVSAvoiddiagnostic accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent merges the advantages of both mechanical and virtual endoscopy by combining real-time image capture from the endo-robot with virtual endoscopic visualization. The system integrates actual captured images with virtual fly-through views, providing both the diagnostic accuracy of real imaging and the comfort benefits of non-invasive visualization.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates accurate virtual copies of the internal anatomy based on real-time image data captured by the endo-robot. These virtual representations are generated from actual imaging data, preserving diagnostic accuracy while enabling non-invasive exploration and reducing false positives through faithful reproduction of anatomical structures.

Inventive Principle:
Principle #26Copying

3Measurement precision

If endo-robot with image registration is used, then diagnostic accuracy is improved, but system complexity increases

Engineering Contradiction:
Improveimage registration accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements self-service through automated image registration and tracking systems. The endo-robot automatically captures position and orientation data, performs real-time registration with the virtual model, and updates the visualization without requiring complex manual intervention. This automation reduces the operational complexity despite the advanced registration capabilities.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9373166B2Registered video endoscopy and virtual endoscopy
Publication Date: 2016.06.21 SIEMENS HEALTHCARE GMBH
  • US9373166B2 patent drawing
  • US9373166B2 patent drawing
  • US9373166B2 patent drawing

AI summary

An endo-robot can be tracked and a reconstructed 3D volume of data can be created for virtual endoscopy. The 3D position and orientation of each image captured by the endo-robot is determined. The longitudinal distance traveled inside the structure of interest is determined. The position, orientation and longitudinal distance are used to register the position of the endo-robot to a corresponding position inside the 3D volume of data. Virtual endoscopy can be used to locate areas of interest and correlate clinical findings with the images of the areas of interest.