Optical Filter Detection in Surgical Imaging Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern medical imaging systems require manual insertion and verification of optical filters for different imaging modes, leading to user errors and inefficiencies, as users must manually recall and check the required filters, which is time-consuming and prone to mistakes.
Innovation Solution
A medical imaging system equipped with processors and light sources that emit emission light pulses and detect reflected light to automatically identify and determine the presence of optical filters, allowing the system to determine compatible imaging modes and configure itself accordingly without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual filter selection and verification is used, then device complexity is reduced, but user error increases and time consumption increases
Solution Approach 1:
The system performs self-verification by automatically detecting which optical filters are installed in the optical path and comparing them against the required filters for the selected imaging mode. The system independently determines filter compatibility without requiring manual user verification, thereby eliminating user error and time consumption while maintaining high reliability.
Solution Approach 2:
The system provides feedback to the user by displaying information about which filters are detected and whether they are appropriate for the selected imaging mode. This feedback mechanism allows the system to automatically confirm proper filter installation and guide users if incorrect filters are present, improving reliability without manual checking.
2Reliability
If manual filter recall and checking is used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The system automatically performs filter detection and compatibility determination without requiring manual user intervention. The processor detects installed filters, compares them with required filters for the selected imaging mode, and determines compatibility automatically, thereby ensuring reliability while significantly improving productivity by eliminating manual setup steps.
Solution Approach 2:
The system performs filter detection and compatibility verification before initiating imaging operations. By conducting this verification in advance, the system ensures that correct filters are installed and compatible with the selected imaging mode, preventing errors and improving efficiency without requiring manual pre-checking by the user.
3Productivity
If automatic filter detection is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The system utilizes existing components (light sources, image sensors, processors) already present in the medical imaging system to perform filter detection. By making these components multi-functional, the system achieves automatic filter verification without adding separate dedicated hardware, thereby improving productivity while minimizing the increase in device complexity.
Solution Approach 2:
The system replaces manual mechanical inspection of filters with an automated optical detection process. Instead of requiring users to physically check filters, the system uses light emission and detection to automatically identify filter presence and characteristics, improving verification speed while adding only computational complexity rather than mechanical complexity.
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 automatically ensures the correct optical filters are in place for the selected imaging mode, reducing user errors and increasing efficiency by eliminating the need for manual recall and visual inspection, thus enabling proper imaging operations.
Implementation Method 1
the system may emit one or more emission light pulses, and may detect reflected light therefrom (for example, reflected from a white-balance card or similar surface)
Data Source
AI summary
Systems and methods for identifying optical filters within a surgical imaging device are provided. A system comprises a set of one or more light sources and a set of one or more image sensors of the surgical imaging device. The set of one or more light sources emits a set of one or more emission light pulses. The set of one or more image sensors detects reflection light of the one or more light pulses. The system determines, based at least in part on the detected reflection light, an identity of an optical filter of the surgical imaging device, wherein the optical filter is disposed in an optical collection path of the surgical imaging device.