Surgical Microscope Video Stabilization via Acceleration Sensor
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
State-of-the-art image stabilization in surgical microscopy is computationally intensive, leading to time delays and difficulties in distinguishing object movements from microscope vibrations, resulting in suboptimal live video display for surgeons.
Innovation Solution
A medical visualization system that uses a combination of image and movement detecting devices to generate displacement vector data, separating microscope movements from object movements through weighting and filtering, allowing for efficient and accurate video stabilization without increasing computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If electronic image stabilization is performed using image evaluation or acceleration sensors, then image stability is improved, but computational load increases leading to time delays in live video display
Solution Approach 1:
The patent replaces computationally intensive image evaluation methods with a mechanical sensing approach using acceleration sensors to detect microscope movements. This substitution reduces computational load while maintaining stabilization effectiveness, as the sensor directly measures physical motion rather than requiring complex image analysis.
Solution Approach 2:
The patent introduces an intermediary processing step where acceleration sensor data is used to predict and compensate for image stabilization needs before full image processing occurs. This intermediary measurement allows the system to prepare stabilization parameters in advance, reducing the computational burden on the main image processing pipeline and minimizing display latency.
2Stability of the object's composition
If image stabilization is performed using state-of-the-art methods, then image stabilization is achieved, but it becomes difficult to distinguish object movements from microscope vibrations
Solution Approach 1:
The patent segments the movement detection task into two independent components: microscope vibration detection (via acceleration sensors mounted on the microscope) and object movement detection (via image analysis). By separating these measurements, the system can accurately distinguish between vibrations requiring stabilization and actual object movements that should be preserved in the live video feed.
Solution Approach 2:
The acceleration sensor serves as an intermediary device that directly measures microscope vibrations independent of the imaged content. This intermediary measurement provides ground-truth vibration data that can be differentiated from object movements detected in the image stream, allowing precise control of stabilization algorithms to correct only microscope-induced artifacts.
3Measurement precision
If computational algorithms are used for image stabilization, then stabilization accuracy is improved, but processing time increases affecting real-time display performance
Solution Approach 1:
The patent performs preliminary measurement of microscope vibrations using acceleration sensors before image stabilization processing is required. By detecting and characterizing vibrations in advance, the system can pre-calculate compensation parameters that are then applied during image display, eliminating the need for computationally intensive real-time image analysis and enabling high-speed real-time processing.
Solution Approach 2:
The patent substitutes mechanical acceleration sensing for computational image-based motion detection. This replacement reduces the complexity of real-time processing from analyzing pixel changes across video frames to simply reading sensor outputs and applying corresponding corrections, dramatically improving processing speed while maintaining stabilization accuracy.
Data Source
AI summary
A method for video stabilisation having the following steps: a) providing the a surgical microscope, comprising an image sensor, and a movement detection device which detects a movement of the image sensor and generates corresponding sensor movement data; b) detecting an object field and generating video data of the object field by means of the image sensor and generating image movement data by evaluating the video data; and c) correcting the video data, comprising c1) calculating displacement vector data which only or predominantly indicate a movement of the image sensor but do not or only subordinately indicate a movement within the object field, using the combined use of the sensor movement data, wherein the image movement data which indicate changes in movement of the object field are weighted and/or filtered on the basis of the sensor movement data, and c2) correcting the video data by means of the displacement vector data.