Robotic Surgery Imaging Alignment via Automated Target Detection

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Solution Overview

Problem

Conventional methods for aligning imaging devices and robots in robotic surgery are time-consuming, complex, and expose patients to additional radiation due to the need for multiple images during the initial setup.

Innovation Solution

A system and method that utilize a processor and memory to transmit instructions for aligning an imaging device and a reference target, using image processing and target detection algorithms to determine the alignment of anatomical elements and reference targets, and generate repositioning requirements to automatically adjust the imaging device and reference target for proper alignment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional methods are used for alignment, then the imaging device and robot can be aligned, but the process is time-consuming and complex

Engineering Contradiction:
Improvealignment precisionVSAvoidsetup time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically detecting the reference target and anatomical element in preoperative images before the surgical procedure. The processor pre-calculates the required image data and generates alignment instructions in advance, eliminating the need for time-consuming trial-and-error alignment during the actual setup phase.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical trial-and-error alignment process with an automated computational system. The processor uses image processing algorithms to automatically determine the position of the reference target and anatomical element, substituting the manual mechanical adjustment process with automated digital computation and instruction generation.

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

2Measurement precision

If multiple images are taken during initial setup, then proper alignment can be achieved, but patient radiation exposure increases

Engineering Contradiction:
Improvealignment precisionVSAvoidradiation exposure
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system uses preoperative images that have already been captured before the surgical procedure to perform alignment. By leveraging these pre-acquired images and performing computational analysis beforehand, the system eliminates the need for additional intraoperative images during setup, thereby reducing radiation exposure to the patient.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses copies of preoperative images (digital representations) to perform the alignment process. Instead of taking new images during setup, the system works with replicated data from previous imaging, allowing for repeated analysis without additional radiation exposure to the patient.

Inventive Principle:
Principle #26Copying

3Reliability

If conventional alignment methods are used, then the robot can be registered to patient space, but the process is complex

Engineering Contradiction:
Improveregistration accuracyVSAvoidalignment process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the alignment process into distinct computational steps: detecting the reference target, detecting the anatomical element, determining the required image data, and generating alignment instructions. This segmentation of the complex registration process into manageable algorithmic steps simplifies the overall process while maintaining accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The alignment system performs self-service by automatically detecting features and generating its own alignment instructions without requiring complex manual intervention. The processor autonomously analyzes images, determines positioning requirements, and generates repositioning instructions, eliminating the need for complex manual alignment procedures.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250143816A1System and method for aligning an imaging device
Publication Date: 2025.05.08 MAZOR ROBOTICS
  • US20250143816A1 patent drawing
  • US20250143816A1 patent drawing
  • US20250143816A1 patent drawing

AI summary

A method of aligning an imaging device in connection with robotic surgery includes causing a robot to position a reference target over a body of a patient; receiving image data from an imaging device; identifying, with an image processing algorithm, at least a first portion of an anatomical element in the image data; identifying, with a target detection algorithm, at least a first portion of a reference target in the image data; comparing a determined location of the imaging device, the reference target, and the anatomical element to yield a location determination and causing at least one of the robot to re-position the reference target or the imaging device to re-position.