IVUS Image Bookmarking With Automatic Anatomical Labels
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Solution Overview
Problem
Current intraluminal medical imaging methods, such as IVUS, face challenges with repetitive and time-consuming labeling and bookmarking processes, often leading to incorrect placements and requiring manual customization, which complicates the identification and analysis of vascular diseases.
Innovation Solution
An automatic and assisted bookmarking system that provides predictive labels and bookmarks, allowing users to select from a short list based on procedure type and anatomical features, enabling drag-and-drop functionality for precise labeling and bookmarking during intraluminal imaging procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual bookmarking and labeling methods are used, then the physician can control the bookmarking process, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs preliminary actions by automatically detecting anatomical landmarks and generating bookmark candidates before the physician needs to bookmark. The system proactively identifies potential bookmark locations and prepares suggested labels, so when the physician reviews the images, the bookmarking work is already partially completed, reducing both time and errors.
Solution Approach 2:
The system serves itself by automatically performing bookmark detection, anatomical landmark identification, and label generation without requiring continuous physician intervention. The automated system handles the repetitive bookmarking tasks, freeing the physician to focus on clinical decision-making, thereby improving accuracy while reducing time consumption.
2Productivity
If automated label generation is implemented, then bookmarking speed increases, but the system complexity increases
Solution Approach 1:
The automated labeling system is segmented into distinct functional modules: image processing module, anatomical landmark detection module, bookmark candidate generation module, and label assignment module. Each module handles a specific task independently, making the overall complex system manageable and maintainable while achieving high bookmarking speed through parallel processing.
3Loss of information
If comprehensive image annotation is performed, then diagnostic information completeness improves, but the workflow complexity increases
Solution Approach 1:
The system performs preliminary annotation by automatically detecting and labeling anatomical landmarks, disease characteristics, and structural features before the physician conducts detailed analysis. This preliminary action ensures that no diagnostic information is missed while keeping the workflow simple, as the physician only needs to review and confirm the pre-annotated information rather than performing comprehensive annotation from scratch.
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
Facilitates rapid, accurate real-time bookmarking and labeling of intraluminal images, reducing the time and effort required for clinicians to identify and analyze vascular diseases, thereby improving the efficiency and accuracy of medical imaging workflows.
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
AI summary
Disclosed is an intraluminal ultrasound imaging system, including a processor circuit in communication with an intraluminal ultrasound imaging catheter, and configured to receive a plurality of intraluminal ultrasound images from the imaging catheter during movement of the imaging catheter within a body lumen of a patient, the body lumen comprising a plurality of segments. The processor circuit is further configured to generate a marker to be applied to an intraluminal ultrasound image of the plurality of intraluminal ultrasound images, wherein the marker is generated based on the movement of the intraluminal ultrasound imaging catheter, and wherein the marker is representative of a segment of the plurality of segments, and output to a display the marker and the plurality of intraluminal ultrasound images shown successively.