Surgical Projection System Alignment via Infrared Reference Mark
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current projection systems for surgical applications face challenges in accurately adjusting the shift between the projection image and the subject, particularly in surgical environments where precise alignment is critical for effective visualization of affected areas.
Innovation Solution
A projection system comprising a light source device with a reference area, an imaging unit, and a projector that captures non-visible and visible light images, allowing for easy adjustment of the shift between the projection image and the subject, utilizing a combination of infrared fluorescence detection and visible light projection to enhance visibility of affected areas during surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a projection system is used to display images on surgical fields, then visualization of affected areas is improved, but accurate alignment between projection image and subject becomes difficult to adjust
Solution Approach 1:
A reference mark is introduced as an intermediary element that is simultaneously visible in both the captured image and the projection image. This reference mark serves as a mediator to establish correspondence between the projection surface coordinates and the subject coordinates, enabling accurate alignment adjustment without directly observing the relationship between projection and subject.
Solution Approach 2:
The system captures an image of the projection surface and uses this captured image as a reference copy to determine the relationship between projection coordinates and subject coordinates. By analyzing the reference mark's position in the captured image, the system can calculate transformation parameters to accurately align the projection image with the subject.
2Manufacturing precision
If the projection system captures images and projects images for surgical visualization, then surgical precision is improved, but the complexity of adjusting and aligning images increases
Solution Approach 1:
The system automatically calculates and applies transformation parameters based on the captured image and reference mark position. The alignment adjustment is performed self-service through automated image processing and coordinate transformation, eliminating the need for manual alignment procedures and reducing operational complexity while maintaining high surgical precision.
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
Enables precise and accurate projection of images onto surgical fields, reducing errors in identifying affected areas and improving surgical precision by allowing for real-time adjustment and alignment of projection images with the actual subject.
Implementation Method 1
emits light including non-visible light and visible light from the reference area
Implementation Method 2
receives non-visible light and captures an image of the projection surface
Implementation Method 3
projects a projection image of visible light on the projection surface
Data Source
AI summary
A projection system includes a light source device, an imaging unit, and a projector. The light source device includes a projection surface including a reference area, and emits light including non-visible light and visible light from the reference area. The imaging unit receives non-visible light and captures an image of the projection surface. The projector projects a projection image of visible light on the projection surface based on the captured image captured by the imaging unit.


