Stenosis Therapy Planning Using Combined 3D and 2D Imaging Data
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Solution Overview
Problem
Current methods for planning interventional stenosis therapy, such as virtual stenting, face challenges due to inaccuracies in modeling arterial dimensions and stenosis severity caused by imaging errors and artifacts, particularly in cardiac arteries, leading to non-optimal treatment outcomes and potential need for follow-up procedures.
Innovation Solution
A method combining three-dimensional medical imaging data with two-dimensional images and actual arterial pressure data to simulate geometry modifications of stenosis, allowing for a more accurate prediction of arterial pressure drops and fractional flow reserves, thereby enhancing the reliability of therapy planning and selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual stenting is performed using only three-dimensional imaging data, then the planning process is simpler and faster, but the accuracy of arterial dimensions and stenosis modeling is insufficient due to imaging artifacts
Solution Approach 1:
The patent combines three-dimensional volumetric imaging data with two-dimensional image data and pressure measurements into an integrated dataset. This merging allows the system to leverage the complementary strengths of each data type: the 3D data provides spatial context while the 2D data and pressure measurements provide detailed structural and functional information that corrects artifacts in the volumetric data, thereby improving modeling accuracy without requiring complete redesign of the processing architecture.
Solution Approach 2:
The patent introduces an intermediary processing layer that registers 2D images with 3D volumetric data and integrates pressure measurements. This intermediary layer acts as a mediator that harmonizes different data types, aligns them in common coordinate spaces, and synthesizes a corrected model that overcomes the limitations of individual data sources while maintaining computational feasibility.
2Measurement precision
If more modeling corrections are applied to overcome imaging artifacts, then the accuracy of arterial dimensions improves, but the risk of incorrect assumptions and errors increases
Solution Approach 1:
The patent incorporates pressure measurements and 2D imaging data as feedback mechanisms that continuously validate and correct the 3D volumetric model. The pressure data provides objective feedback on stenosis severity, while the 2D images provide visual feedback on anatomical structures. This feedback loop allows the system to detect and correct modeling errors without relying on unverified assumptions, thereby improving both accuracy and reliability simultaneously.
Solution Approach 2:
The patent replaces speculative modeling corrections with direct measurement-based corrections. Instead of relying on complex algorithms to guess artifact corrections, the system uses actual 2D image data and pressure measurements to directly determine the correct arterial dimensions and stenosis characteristics, substituting mechanical/computational speculation with empirical measurement.
3Measurement precision
If invasive pressure measurements are performed, then the accuracy of arterial pressure drop determination improves, but the invasiveness and risk to the patient increases
Solution Approach 1:
The patent segments the measurement approach into multiple components: non-invasive 3D volumetric imaging for anatomical context, non-invasive 2D imaging for detailed structural information, and selective pressure measurements only at critical locations. This segmentation allows the system to maximize measurement accuracy where needed while minimizing invasive procedures in less critical areas, balancing precision with patient safety.
Solution Approach 2:
The patent performs preliminary non-invasive imaging (3D and 2D) to identify the most critical stenosis locations and characteristics before performing any invasive pressure measurements. This preliminary action allows the system to target invasive measurements only to the most necessary locations, reducing overall invasiveness while maintaining the accuracy needed for effective treatment planning.
Data Source
AI summary
The present invention relates to stenosis therapy planning. A first volumetric data set is received by medical imaging of at least part of an artery comprising a stenosis. At least one two-dimensional image data (of the stenosis is received. A first arterial pressure drop is determined around the stenosis. A second volumetric data set is generated by registering the at least one two-dimensional image data with the first volumetric data set. A third volumetric data set is generated by simulating a geometry modification of the stenosis in the second volumetric data set and a second arterial pressure drop is estimated around the stenosis in the third volumetric data set.