Intravascular Imaging System with Mode-Specific Parameter Optimization
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Solution Overview
Problem
Current intravascular imaging systems face challenges in visualizing varied features within the vasculature due to different reactions of structures like stents, soft tissue, and plaque to visualization mechanisms, complicating the acquisition of useful imaging data.
Innovation Solution
A medical imaging system with a user-friendly interface that allows selection of pre-defined settings groups optimized for specific features, including parameters for both pre-acquisition and post-acquisition stages, to enhance imaging data collection and processing, using a system comprising a console with processors, an acquisition card, and an intravascular imaging component on a flexible elongate member.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single visualization mechanism (e.g., ultrasound) is used to image all features, then the system is simple to operate, but different structures (stents, soft tissue, plaque) respond differently making visualization difficult
Solution Approach 1:
The system dynamically adjusts imaging parameters based on the target structure being visualized. The processor automatically modifies acquisition parameters (such as frequency, gain, resolution) according to the selected imaging mode (stent, plaque, soft tissue), enabling optimal visualization of different features without manual intervention while maintaining ease of operation.
Solution Approach 2:
The system changes physical or operational parameters of the imaging device based on the target feature. Different acquisition parameters are selected and applied depending on whether the user needs to visualize stents, plaque, or soft tissue, allowing the same device to optimize its detection capabilities for each specific target type.
2Measurement precision
If multiple imaging modes with different parameters are provided, then visualization quality for specific features improves, but system complexity increases
Solution Approach 1:
The system pre-configures multiple imaging modes with optimized parameters before the user needs them. Acquisition parameters are pre-set for different target types (stent mode, plaque mode, soft tissue mode), so when the user selects a mode, the correct parameters are already in place and can be applied immediately without complex real-time adjustments.
Solution Approach 2:
The system automatically applies the correct acquisition parameters based on the selected imaging mode without requiring manual configuration. The processor self-adjusts the device settings according to the pre-defined mode parameters, reducing the operational burden on the user while maintaining high measurement precision for different feature types.
3Measurement precision
If acquisition parameters are optimized for one feature type, then that feature is visualized accurately, but other feature types cannot be visualized effectively
Solution Approach 1:
The imaging system is designed with multi-functionality to handle multiple target types with a single device. By incorporating multiple imaging modes that can be selected based on the target feature (stent, plaque, soft tissue), the system achieves universality in visualizing different vascular structures while maintaining high measurement precision for each specific feature type through mode-specific parameter optimization.
Data Source
AI summary
Intravascular devices, systems, and methods are disclosed. In some embodiments, a medical imaging system for imaging vasculature of a patient is provided. The imaging system includes a console that has one or more processors with a medical imaging system interface running thereon, an acquisition card in communication with the one or more processors and in communication with a patient interface module (PIM), and an intravascular imaging component in communication with the PIM and disposed on a distal end of a flexible elongate member. The medical imaging system interface provides a plurality of settings groups for selection by a user, each of the settings groups having pre-acquisition parameters and post-acquisition parameters that are optimal for imaging a desired viewing target within the vasculature. Associated methods and computer-readable media are provided.