Intraluminal Imaging Landmark Detection for Lesion Assessment
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Solution Overview
Problem
Current intraluminal imaging systems require manual selection and analysis of multiple frames to identify landmarks and assess lesions, which is time-consuming and prone to errors, leading to misjudgment of lesion extent.
Innovation Solution
An intraluminal imaging system that automatically identifies and measures landmarks, such as tissue borders and lesions, within a lumen, displaying these measurements alongside intraluminal images to facilitate accurate lesion assessment and stent placement recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and analysis of multiple frames is performed to identify landmarks and assess lesions, then measurement precision can be achieved, but time consumption increases and human error increases
Solution Approach 1:
The system performs automatic landmark identification and measurement without requiring manual intervention. The processing system automatically analyzes intraluminal images, identifies landmarks such as tissue borders and lesions, and generates measurements, thereby eliminating the time-consuming manual frame-by-frame analysis while maintaining measurement accuracy
Solution Approach 2:
The patent replaces the manual mechanical process of frame selection and measurement with an automated computer-based system. The processing system uses image processing algorithms to automatically identify landmarks and calculate measurements, substituting the human operator's manual actions with automated computational processes
2Measurement precision
If manual selection and analysis of multiple frames is performed to identify landmarks and assess lesions, then measurement precision can be achieved, but the complexity of operation increases
Solution Approach 1:
The system performs automatic landmark identification and measurement without requiring manual intervention. The processing system automatically analyzes intraluminal images, identifies landmarks such as tissue borders and lesions, and generates measurements, thereby eliminating the time-consuming manual frame-by-frame analysis while maintaining measurement accuracy
Solution Approach 2:
The patent segments the complex task of lesion assessment into distinct automated components: image acquisition, landmark identification, measurement calculation, and visualization. This segmentation allows each function to be optimized independently and presented to the user in a simplified manner
3Measurement precision
If manual analysis of multiple frames is performed, then landmark identification can be achieved, but reliability decreases due to confusion between frames
Solution Approach 1:
The system provides continuous feedback by automatically identifying and displaying landmarks with precise measurements on the intraluminal images. This feedback mechanism allows the user to verify the automated identification while eliminating the confusion that arises from manually scrolling through multiple frames, thereby improving reliability
Solution Approach 2:
The patent replaces the manual mechanical process of frame selection and measurement with an automated computer-based system. The processing system uses image processing algorithms to automatically identify landmarks and calculate measurements, substituting the human operator's manual actions with automated computational processes
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
The system provides efficient and accurate identification and measurement of landmarks and lesions, reducing human error and time consumption, thereby enhancing the precision of lesion assessment and treatment planning.
Implementation Method 1
The transducers emit ultrasonic energy and receive ultrasound echoes reflected from the vessel
Implementation Method 2
receive ultrasound echoes reflected from the vessel
Data Source
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AI summary
Systems, devices, and methods are provided to determine and visualize landmarks with an intraluminal imaging system for lesion assessment and treatment. An intraluminal imaging system may be configured to receive imaging data from an intraluminal imaging device, generate a set of image frames using received imaging data, and automatically calculate a luminal area associated with the body lumen for each of the image frames. The calculated luminal area and a longitudinal view of the body lumen may be displayed to a user on a display device.