Vascular Puncture Guidance via OCT Hardness Detection
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Solution Overview
Problem
Vascular puncture procedures often fail due to calcification in blood vessels, as existing methods cannot accurately determine the hardness of the vessel, leading to incorrect puncture sites and angles.
Innovation Solution
A vascular puncture assist device that includes a control unit and a property acquisition unit to detect the hardness of blood vessels, determining the availability and optimal position or direction for puncture based on the detected hardness, using imaging and machine learning to assess calcification and guide needle placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visualizing techniques (near-infrared image, ultrasound echo, photoacoustic imaging) are used to determine puncture position, then the operator can determine puncture position, angle, and depth more easily, but the device cannot detect the hardness of the blood vessel to avoid calcified areas
Solution Approach 1:
The patent replaces conventional imaging modalities (near-infrared, ultrasound, photoacoustic) with optical coherence tomography (OCT) imaging technology. OCT provides high-resolution cross-sectional images that enable detection of blood vessel hardness and calcification, substituting mechanical/tactile assessment methods with optical-based mechanical property detection.
Solution Approach 2:
The patent changes the detection parameter from simple anatomical positioning to mechanical property detection (hardness, calcification state). By using OCT imaging to detect the mechanical properties of blood vessel tissue, the system identifies calcified areas and determines optimal puncture sites based on tissue hardness variations.
2Device complexity
If standard knowledge and tactile perception are used for vascular puncture, then no additional equipment is needed, but puncture failure often occurs due to inability to detect calcified areas
Solution Approach 1:
The patent replaces tactile perception and manual assessment with automated optical coherence tomography imaging and machine learning-based analysis. The system uses light-based OCT technology to detect tissue mechanical properties, substituting mechanical tactile methods with optical field-based detection.
3Productivity
If puncture is performed without detecting blood vessel hardness, then the procedure is simpler and faster, but puncture may fail when encountering calcified locations
Solution Approach 1:
The patent performs preliminary OCT imaging and machine learning analysis before puncture to detect calcified areas and determine optimal puncture sites. By conducting hardness detection and image analysis in advance, the system prepares puncture parameters (position, angle, depth) that avoid calcified regions, ensuring reliable puncture while maintaining procedural efficiency.
Data Source
AI summary
A vascular puncture assist device includes a property acquisition unit that acquires a property of a blood vessel; and a control unit that detects a state of hardness of a blood vessel from the property of the blood vessel acquired by the property acquisition unit, and determines availability of puncture and a puncture position or direction based on the detected state of hardness of the blood vessel. The vascular puncture assist device further includes a probe including an imaging unit that acquires a cross-sectional image of a human body, and the control unit detects a state of calcification of a blood vessel from the acquired cross-sectional image using the imaging unit as a property acquisition unit.