Intravascular Imaging Near-Field Artifact Reduction
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Solution Overview
Problem
Intravascular imaging devices, such as catheters, often produce near-field artifacts due to catheter interference, which can obscure clinically useful data and reduce image quality.
Innovation Solution
The implementation of spatial, circumferential, and radial filtering techniques, along with shader methods, to identify and reduce near-field artifacts in intravascular imaging data, enhancing image quality by minimizing catheter-related interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If catheter based intravascular imaging devices are used to obtain imaging data, then in-vivo visualization of anatomical areas can be achieved, but near-field image artifacts are introduced that obscure clinically useful data
Solution Approach 1:
The patent extracts and removes near-field image artifacts from the imaging data through filtering techniques. The system identifies artifact regions based on their spatial characteristics and applies filtering to extract only the clinically useful data, separating it from the catheter-induced artifacts.
Solution Approach 2:
The patent applies different filtering strategies to different regions of the imaging data. Near-field artifacts are targeted with specific filtering techniques while preserving the quality of regions containing clinically useful information. The filtering is applied locally based on the spatial characteristics of each region.
2Measurement precision
If spatial, circumferential, and radial filtering techniques are applied to reduce near-field artifacts, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent segments the filtering process into multiple independent components: spatial filtering, circumferential filtering, and radial filtering. Each filtering operation processes the data in a specific dimension independently, making the complex task more manageable and allowing for optimized implementation of each individual filter.
Solution Approach 2:
The patent approaches artifact reduction by applying filters across multiple dimensions: spatial dimension, circumferential dimension, and radial dimension. This multi-dimensional filtering approach systematically reduces artifacts while preserving useful information through coordinated processing in different spatial orientations.
Data Source
AI summary
Systems and methods to reduce near-field artifacts from intravascular images. Disclosed systems and methods are adapted to automatically identify near-field image artifacts in imaging data and generate an enhanced intravascular image by reducing near-field image artifacts.