Surgical Video Standardization via Temporal Warping
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Solution Overview
Problem
There is no efficient method to combine and compare unedited videos of surgical techniques from different sources, such as YouTube, for learning or improving surgical skills, as each video is edited uniquely and lacks standardized formatting.
Innovation Solution
A system that includes an image sensor, computer system, and surgical video database, which allows users to search, standardize, and compare videos by warping temporal and spatial dimensions, generating a template for comparison, and highlighting deviations from typical techniques using machine learning logic and video warping engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If videos are uploaded to content aggregation sites for surgical technique sharing, then access to surgical videos is improved, but the ability to compare and standardize techniques across different videos deteriorates due to unique editing styles
Solution Approach 1:
The patent introduces a computer system as an intermediary that automatically processes, standardizes, and compares surgical videos. The system extracts key frames, generates templates, and aligns multiple videos with different editing styles, enabling surgeons to compare techniques without manually editing each video to match a standard format.
Solution Approach 2:
The system changes the parameters of video comparison by extracting and normalizing specific visual features (key frames, anatomical structures, surgical instruments) from different video sources. By transforming videos into standardized representations based on extracted parameters, the system enables objective comparison despite original videos having different editing styles and formats.
2Quantity of substance
If multiple surgical videos with different editing styles are collected, then the quantity of surgical technique information is improved, but the time required to analyze and compare these videos increases
Solution Approach 1:
The patent segments each surgical video into discrete key frames and anatomical structures. By breaking down continuous video streams into standardized segments based on extracted features, the system enables parallel processing and efficient comparison of multiple videos simultaneously, dramatically reducing analysis time while maintaining comprehensive information coverage.
Solution Approach 2:
The system creates standardized templates and representations of surgical techniques by extracting key frames and generating normalized video segments. These copies serve as reference standards that can be rapidly compared against multiple source videos without requiring manual re-analysis of the original footage, thus reducing time investment while preserving technical information.
3Ease of manufacture
If videos are not standardized before comparison, then the ease of video collection is improved, but the precision of technique comparison deteriorates
Solution Approach 1:
The computer system acts as an intermediary that receives unstandardized videos from multiple sources, processes them through automated extraction and normalization algorithms, and outputs standardized comparisons. This mediator approach preserves the ease of collecting diverse videos while achieving precise comparison through automated standardization of extracted features and generated templates.
Data Source
AI summary
A method for comparing videos of a surgical procedure is disclosed. The method comprising selecting a plurality of videos from a surgical video database. Each of the plurality of videos including video data of a first surgical procedure comprising a plurality of surgical steps. The method further including identifying a first surgical step included in the plurality of surgical steps within a first video segment in each of the plurality of videos. The method also including warping the first video segment to standardize a dimension of the first video segment in each of the plurality of videos.