Preoperative Dataset Correction via Intraoperative Position Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for real-time monitoring of medical objects in vessels during procedures like EVAR are inadequate due to insufficient accuracy in correcting preoperative image datasets for vessel deformation caused by medical objects.

Innovation Solution

A method that involves receiving a preoperative dataset and length information of a medical object, determining virtual and real positioning information, and applying a transformation rule to generate a corrected dataset that minimizes the deviation between the two positioning information sets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a deformation model based on material parameters or manual adjustment is used to correct the preoperative image dataset, then the correction process can be performed, but the accuracy is insufficient at ostia and vascular bifurcations

Engineering Contradiction:
Improvepositioning accuracyVSAvoidcorrection method complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs feedback by using multiple X-ray projection images acquired during the procedure to iteratively refine the deformation correction. The system compares the deformed preoperative model with actual intraoperative images and adjusts the deformation parameters accordingly, achieving high accuracy at complex regions like ostia and bifurcations through continuous feedback from imaging data

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by pre-calculating and storing multiple pre-deformed versions of the anatomical model with varying deformation parameters before the actual procedure. During the procedure, the system can quickly select and apply the most appropriate pre-deformed model based on the specific anatomical variations observed, avoiding time-consuming real-time calculations while maintaining high accuracy

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple X-ray projection images are acquired with contrast agent to perform manual adjustment, then deformation correction can be achieved, but the X-ray dose and contrast agent usage increase

Engineering Contradiction:
Improvedeformation correction accuracyVSAvoidX-ray dose
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent applies partial action by acquiring X-ray projection images only at critical stages and angles necessary for deformation correction, rather than continuous imaging. The system selectively captures images at key moments when the medical object reaches important anatomical landmarks, reducing overall X-ray exposure while still gathering sufficient data for accurate deformation modeling

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent makes the X-ray imaging system multi-functional by using the same imaging device for both procedural guidance and deformation measurement. The X-ray images serve dual purposes: guiding the medical procedure and providing data for correcting the preoperative anatomical model, thereby eliminating the need for separate measurement procedures that would increase radiation exposure

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

Data Source

PatentUS12347059B2Providing a corrected dataset
Publication Date: 2025.07.01 SIEMENS HEALTHINEERS AG
  • US12347059B2 patent drawing
  • US12347059B2 patent drawing
  • US12347059B2 patent drawing

AI summary

A method for providing a corrected dataset includes receiving a preoperative dataset containing an image and/or a model of an examination region of an examination subject. Length information is received. At least a part of a medical object is arranged intraoperatively in the examination region. The length information includes information relating to a length of the part of the medical object arranged in the examination region. First positioning information relating to a virtual positioning of a predefined section of the part of the medical object arranged in the examination region is determined based on the preoperative dataset and the length information. The method includes receiving and/or determining second positioning information relating to a real positioning of the predefined section. A transformation rule for minimizing a deviation between the first and second positioning information is determined, and the corrected dataset is generated by applying the transformation rule to the preoperative dataset.