Heart Reconstruction Navigation Using Low-Dose 3D Models
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Solution Overview
Problem
Current medical procedures for evaluating interior organs, such as the heart, expose patients to high levels of radiation due to the need for multiple images during cardiac scans, which can be detrimental and lack accurate, adaptable representation for precise instrument placement.
Innovation Solution
A method using a computerized organ model with classifiers to obtain a reduced set of ECG-synchronized images, minimizing radiation exposure by reconstructing a patient's heart model for accurate representation and navigation during procedures like catheter insertion, utilizing low-dose acquisitions and interpolation between heart phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are taken during cardiac scans to evaluate the heart in different configurations, then diagnostic accuracy is improved, but patient radiation exposure increases
Solution Approach 1:
A comprehensive 3D heart model is constructed in advance using low-dose CT or MRI data. This pre-acquired model serves as a reference framework that allows physicians to perform detailed virtual navigation and evaluation without requiring multiple high-dose fluoroscopic images during the actual procedure.
Solution Approach 2:
The invention creates a virtual copy of the patient's heart anatomy through 3D reconstruction from low-dose imaging data. This digital twin allows for repeated viewing, measurement, and navigation planning without exposing the patient to additional radiation, as the virtual model can be analyzed indefinitely without further imaging.
2Manufacturing precision
If a comprehensive 3D volume data set is acquired to enable detailed navigation pathway review, then procedural precision is improved, but radiation dose to the patient increases
Solution Approach 1:
Navigation pathways and critical anatomical structures are identified and marked on the 3D model before the procedure. This preliminary planning allows the medical team to review and optimize catheter routes in advance, ensuring precise instrument placement during the actual procedure without requiring continuous high-dose imaging.
Solution Approach 2:
The 3D volume data creates a complete virtual replica of the heart's internal anatomy, including chambers, vessels, and tissue structures. This digital copy enables unlimited review of navigation pathways and allows physicians to simulate catheter movements and assess potential risks before actual instrument insertion.
3Adaptability or versatility
If multiple phases of the heart are recorded during C-arm rotations to capture different configurations, then diagnostic evaluation capability is improved, but patient radiation exposure increases
Solution Approach 1:
The heart is imaged in multiple phases (systole, diastole, etc.) during the initial low-dose CT or MRI scan to capture its dynamic behavior. This preliminary multi-phase acquisition creates a comprehensive baseline that documents the heart's anatomy and motion patterns without exposing the patient to repeated radiation during the procedure.
Solution Approach 2:
The multi-phase imaging creates a dynamic virtual model that captures the heart's behavior across different cardiac cycles. This temporal copy allows physicians to evaluate the heart's function and anatomy at various phases without requiring additional C-arm rotations and fluoroscopic exposure during the intervention.
4Object-affected harmful factors
If low-dose imaging is used to minimize radiation exposure, then patient safety is improved, but image quality and model accuracy may deteriorate
Solution Approach 1:
Low-dose CT or MRI images are acquired in advance to create the initial 3D model. These preliminary images, though acquired at lower doses, are processed using advanced reconstruction algorithms that enhance image quality and compensate for the reduced radiation dose, maintaining sufficient accuracy for navigation purposes.
Solution Approach 2:
The low-dose images serve as a template for creating the virtual heart model. Post-processing techniques including noise reduction, edge enhancement, and artifact correction are applied to the low-dose data to generate a high-quality digital representation that accurately depicts anatomical structures despite the reduced imaging dose.
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
This approach reduces patient radiation exposure while providing accurate, adaptable heart models for precise medical procedures, enhancing navigation and instrument placement with minimal imaging, thus balancing diagnostic needs with patient safety.
Implementation Method 1
placing the patient in a diagnostic scanner device, taking representative data images of a patients organ while changing position of the image scan
Implementation Method 2
the data images taken with ECG synchronization
Data Source
AI summary
A method to obtain a patient based organ model from patient data, having steps of obtaining a computerized organ model based upon at least one data set of patients, the computerized organ model having a set of classifiers that are used to determine physical parameters of the patients heart, placing the patient in a diagnostic scanner device, taking representative data images of a patients organ while changing position of the image scan, the data images taken with ECG synchronization; and preparing the patient based organ model by evaluating the representative data images of the patients organ with the set of classifiers in the computerized organ model.