Spectral Imaging Guidance for Real-Time Tissue Assessment
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Solution Overview
Problem
Existing medical imaging devices lack the capability to provide real-time, high-resolution spectral and spatial information for enhancing the safety, quality, and efficiency of minimally invasive surgical procedures, diagnostics, and therapeutic activities.
Innovation Solution
A medical imaging device equipped with a spatially and spectrally resolving image acquisition unit, analysis unit, and assessment unit that generates and analyzes image data to provide automated assessments and recommendations for diagnostic and therapeutic activities, integrating with medical devices for real-time guidance and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multispectral or hyperspectral imaging methods are used to obtain spectral information, then diagnostic and therapeutic quality is improved, but device complexity and acquisition time increase
Solution Approach 1:
The imaging device divides the spectral acquisition into multiple discrete wavelength ranges using adjustable spectral filters. Each filter isolates a specific spectral band, allowing the system to capture comprehensive spectral information through sequential filtering rather than requiring complex simultaneous multi-spectral detection hardware.
Solution Approach 2:
The device employs dynamically adjustable spectral filters that can be tuned to different wavelength ranges during operation. This dynamic filtering capability enables the system to adapt to different diagnostic and therapeutic requirements without requiring multiple fixed filter sets, thereby reducing overall device complexity while maintaining spectral flexibility.
2Measurement precision
If spectral filtering is used to obtain multispectral images, then spectral resolution is improved, but imaging speed decreases
Solution Approach 1:
The imaging system uses periodic switching between different spectral filters to capture images at multiple wavelength ranges. By rapidly cycling through the filter set in a systematic sequence, the device achieves comprehensive spectral coverage while maintaining acceptable imaging speed through optimized periodic acquisition cycles.
Solution Approach 2:
The system performs preliminary spectral filtering by pre-positioning the appropriate filter before image acquisition for each spectral band. This preliminary preparation allows for optimized exposure settings and reduces the need for repeated adjustments during the imaging process, thereby improving overall acquisition efficiency.
3Measurement precision
If automated image analysis and assessment are implemented, then diagnostic accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The imaging device incorporates automated feedback mechanisms where image data is continuously analyzed and used to adjust acquisition parameters in real-time. The system provides immediate feedback on spectral characteristics and tissue properties, enabling rapid diagnostic assessment without requiring extensive post-processing analysis.
Solution Approach 2:
The device includes built-in automated assessment capabilities that perform diagnostic evaluation independently without requiring external computational resources. The imaging system self-analyzes the captured spectral data to generate diagnostic information, reducing dependency on external processing systems and minimizing overall processing time.
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
Enhances the safety, quality, and efficiency of diagnostic and therapeutic procedures by providing real-time, high-resolution spectral and spatial information, supporting users with automated assessments and recommendations, even for less experienced clinicians.
Implementation Method 1
at least one image acquisition sensor system coupled to the optical system, which are configured to generate image data of an object region which comprise spatial and spectral information
Data Source
AI summary
The invention relates to a medical imaging device (10), comprising: a spatially and spectrally resolving image acquisition unit (12) which comprises at least one optical system (14) and at least one image acquisition sensor system (16) coupled to the optical system (14), which are configured to generate image data of an object region (18) which comprise spatial and spectral information; an image analysis unit (20) which is configured to create an analysis of the image data which is based on spatial and spectral information, wherein the analysis comprises at least one evaluation which comprises at least one evaluation parameter which relates to an object subregion (22) of the object region (18); an assessment unit (24) which is configured to generate, based on the analysis and on the basis of information relating to a diagnostic and/or therapeutic activity that is to be carried out and/or has been carried out, an assessment of an attribute of the object subregion (22) relevant to the diagnostic and/or therapeutic activity, which assessment is based on the evaluation parameter; and an output generation unit (26) which is configured to generate an output that is based on the assessment.The invention also relates to a medical system (56) with a medical imaging device (10) as well as associated methods.