Endorobot Lesion Localization via Computer Vision

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Solution Overview

Problem

The lengthy gastrointestinal tract and numerous lesions within it pose challenges for efficient detection and treatment, as existing methods rely on manual navigation and operation of endorobots, which are time-consuming and inefficient.

Innovation Solution

An automated system using an endorobot equipped with a camera and laser for detecting lesions through surface imaging, analyzing features, and adjusting laser irradiation parameters, allowing for independent and optimized treatment without user intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual navigation and operation of endorobots is used for lesion detection and treatment, then the operator can control the procedure, but the process becomes time-consuming and inefficient

Engineering Contradiction:
Improveefficiency of lesion detection and treatmentVSAvoidtime required for manual navigation and operation
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system enables automated lesion detection and treatment by allowing the endorobot to navigate and perform coagulation procedures independently based on computer analysis of surface images, eliminating the need for continuous manual control and significantly reducing procedure time

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical navigation with an automated control system that uses computer vision to detect lesions and automatically steers the endorobot to target locations, substituting human operation with an automated image-processing and control system

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

2Productivity

If automated lesion detection and treatment is implemented, then efficiency is improved, but the system complexity increases

Engineering Contradiction:
Improveefficiency of lesion detection and treatmentVSAvoidcomplexity of automated system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The endorobot system integrates multiple functions including navigation, surface imaging, lesion detection through computer analysis, and laser coagulation treatment within a single automated platform, allowing one device to perform what previously required multiple separate systems or manual operations

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The computer acts as an intermediary that processes surface images, identifies lesions based on learned features, and generates control signals for the endorobot, serving as an intelligent mediator between the imaging system and the treatment delivery system

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables rapid and precise detection and treatment of multiple lesions by automating lesion localization and irradiation, improving the efficiency of minimally invasive procedures in the gastrointestinal tract.

Implementation Method 1

irradiation using the laser of the endorobot of the lesion detected by the computer on the basis of lesion-specific features

Methodology Applied
Scientific EffectLaser ablation: Laser Ablation

Implementation Method 2

laser system located in the endorobot

Methodology Applied
Scientific EffectLaser: Laser

Data Source

PatentUS7572284B2Method for automated localization of lesions in the gastrointestinal tract for treatment using laser light from an endorobot
Publication Date: 2009.08.11 SIEMENS HEALTHCARE GMBH
  • US7572284B2 patent drawing
  • US7572284B2 patent drawing
  • US7572284B2 patent drawing

AI summary

A method is for automated localization of lesions in the gastrointestinal tract using laser light from an endorobot. The method includes recording of surface images of the gastrointestinal tract using the camera of the endorobot. Next, the surface images are transmitted to a computer. The surface images are then analyzed by the computer on the basis of lesion-specific features with regard to lesions to be irradiated. Thereafter, control signals are computed by the computer on the basis of a detected lesion, and the control signals are transmitted to an endorobot steering device and/or to a laser system located in the endorobot. Finally, the computed laser-beam orientation and size of the laser irradiation area are adjusted by the endorobot steering device and/or by the laser system, on the basis of the control signals.