Fluorescence Imaging Reference Region Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical imaging systems lack the ability to easily compare the relative fluorescence intensity of target regions to a reference region in real-time, which is crucial for assessing tissue health and blood flow during procedures.
Innovation Solution
The system allows users to set a reference region in fluorescence imaging and provides a visual indication of the relative fluorescence intensity in target regions, using a color map with a scale tied to the reference intensity, enabling real-time comparison and assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluorescence imaging data is acquired without reference region selection, then the imaging process is simple, but the ability to assess relative fluorescence intensity is insufficient
Solution Approach 1:
The imaging system divides the tissue region into a reference region and a target region, allowing independent analysis of each. The reference region serves as a baseline for comparison, while the target region is assessed relative to this baseline, enabling precise relative fluorescence intensity measurement without requiring complete reimagining of the system.
Solution Approach 2:
The reference region acts as an intermediary element between the imaging system and the target region assessment. By introducing this intermediate reference point, the system can quantify relative fluorescence intensity in the target region through comparison, transforming a complex absolute measurement problem into a simpler relative measurement problem.
2Productivity
If real-time relative fluorescence intensity comparison is implemented, then tissue health assessment is improved, but the operational complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically selecting and establishing a reference region before target region assessment. This preliminary setup includes calculating the mean fluorescence intensity of the reference region and preparing the comparison framework, so that subsequent target region assessments can be performed quickly and efficiently without manual recalibration.
Solution Approach 2:
The system implements feedback by continuously monitoring and comparing the fluorescence intensity of the target region against the reference region in real-time. The mean fluorescence intensity values are calculated and compared, providing immediate feedback on relative intensity changes, which enhances tissue health assessment efficiency while maintaining straightforward operation through automated calculations.
3Measurement precision
If manual reference region selection is required, then measurement accuracy can be controlled, but time consumption increases
Solution Approach 1:
The imaging system performs self-service by automatically selecting an appropriate reference region and calculating its mean fluorescence intensity without requiring manual user intervention. The system autonomously identifies suitable reference tissue, establishes the reference intensity level, and prepares it for comparison with target regions, thereby maintaining measurement precision while eliminating time-consuming manual setup procedures.
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
This solution enables users to more effectively assess the relative health of target regions by providing immediate and intuitive visual feedback on fluorescence intensity relative to a healthy reference, facilitating better decision-making during medical procedures.
Implementation Method 1
Fluorescence imaging generally involves the administration of a bolus of an imaging agent that circulates through the subject's tissue and emits a fluorescence signal when illuminated with the appropriate excitation light.
Data Source
AI summary
A method for fluorescence imaging includes receiving fluorescence imaging data, receiving a user input selecting a reference region associated with the fluorescence imaging data, determining a reference fluorescence intensity level based on the reference region, and displaying a color map based on the fluorescence imaging data, wherein a color scale of the color map is based on the reference fluorescence intensity level.