3D Imaging Reconstruction from Standard X-Ray Projections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical simulation systems are limited in their ability to rapidly build patient-specific simulations, which hinders their effectiveness in training and decision support for medical procedures like cardiac catheterization, relying heavily on subjective pattern recognition and lacking the capability to realistically simulate procedures for incoming patients.
Innovation Solution
A system that uses semi-automated and fully automated, network and web-based 3D and 4D imaging to simulate medical procedures, converting multiple 2D x-ray and other imaging projections into 3D and 4D models without requiring special hardware or pre-processing, allowing for patient-specific decision support and realistic training without human subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If standard 2D x-ray imaging projections are used without special hardware, then device complexity is reduced, but the ability to generate accurate 3D/4D patient-specific simulations is compromised
Solution Approach 1:
The patent replaces the need for special mechanical imaging hardware (such as rotational runs or 3D imaging systems) with a computational approach. Standard 2D x-ray imaging projections are processed through advanced image processing and 3D reconstruction algorithms to generate accurate 3D/4D patient-specific simulations. This substitution of mechanical systems with computational methods resolves the contradiction by maintaining simulation accuracy while eliminating complex hardware requirements.
2Productivity
If rapid building of patient-specific simulations is implemented, then productivity is improved, but the complexity of image processing and analysis increases
Solution Approach 1:
The patent performs preliminary processing and analysis of the 2D x-ray imaging projections before generating the final 3D/4D simulations. By pre-processing the image data, extracting relevant anatomical features, and preparing reconstruction datasets in advance, the system enables rapid generation of patient-specific simulations without requiring complex real-time processing during the simulation building phase. This preliminary action resolves the contradiction by separating the complex processing tasks from the time-critical simulation generation.
3Ease of operation
If multiple 2D x-ray imaging projections are processed without pre-processing, then ease of operation is improved, but the quality of 3D reconstruction may be compromised
Solution Approach 1:
The patent implements self-service image processing where the system automatically performs necessary preprocessing, alignment, and optimization of multiple 2D x-ray imaging projections without requiring manual intervention. The system autonomously adjusts parameters, corrects distortions, and optimizes the input data for 3D reconstruction while maintaining operational simplicity for the user. This self-service approach resolves the contradiction by embedding complex processing capabilities within the system itself while keeping the user interface simple.
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 accurate patient-specific simulations, enhancing physician judgment and improving patient outcomes by providing a realistic training environment and data-driven decision support for medical procedures, while optimizing clinical practices and reducing complications.
Implementation Method 1
using multiple (e.g., >2 and/or >3) standard 2D x-ray and/or other radiation or sound imaging projections
Data Source
AI summary
Systems, methods and software are provided that simulate or facilitate imaging of medical procedures for purposes of optimized performance, simulation, training and/or accreditation. More particularly, aspects of the invention relate to a system, apparatus and/or subsystems for generating 3D and/or 4D imaging from 2 or more 2D images and/or projections for use in performing, simulating, training, and/or facilitating medical-access procedures. Such procedures use semi-automated and/or fully automated, network and/or web-based, 3D and/or 4D imaging of anatomy and corresponding medical devices or treatment for performing, training, rehearsing and/or conducting medical procedures, using multiple (e.g., >2 and/or >3) standard 2D x-ray and/or other radiation or sound imaging projections without a need for special hardware and/or systems (e.g., rotational runs) and/or pre-processing/analysis of a captured image data.