Multi-Spectrum Image Guidance for Medical Procedure Object Detection
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Solution Overview
Problem
Existing medical imaging technologies often utilize visible-spectrum and non-visible-spectrum images independently, failing to leverage the complementary information from both spectrums concurrently, which limits the potential for enhanced procedural assistance and post-procedure analysis.
Innovation Solution
A system and method that integrates visible-spectrum and non-visible-spectrum image sequences, enabling object detection and recognition in non-visible-spectrum images to perform operations on visible-spectrum images, such as labeling, augmenting, or modifying them based on detected objects in non-visible-spectrum images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If visible-spectrum and non-visible-spectrum images are used independently, then each image type can be processed separately with existing technologies, but the complementary information from both spectrums cannot be leveraged concurrently
Solution Approach 1:
The patent merges visible-spectrum and non-visible-spectrum image sequences into a unified processing system. The image processing system receives both image types, detects objects in the non-visible-spectrum images, and performs operations on the visible-spectrum images based on the detected objects, thereby combining the advantages of both spectrums to enhance diagnostic capability and procedural guidance.
2Loss of information
If non-visible-spectrum images are used for object detection, then complementary information can be obtained, but the visible-spectrum images require additional processing operations
Solution Approach 1:
The patent introduces an intermediary processing approach where non-visible-spectrum images serve as control signals to manipulate visible-spectrum images. The system detects objects in non-visible-spectrum images and uses this information to perform operations such as labeling, augmenting, or modifying visible-spectrum images, thereby leveraging the complementary information without requiring complete reprocessing of both image types.
3Reliability
If both image sequences are processed concurrently, then enhanced procedural assistance can be achieved, but computational resources and processing time increase
Solution Approach 1:
The patent performs preliminary object detection in non-visible-spectrum images before processing visible-spectrum images. By detecting objects in advance using non-visible-spectrum data, the system can then efficiently process and modify visible-spectrum images based on pre-identified object locations and characteristics, reducing the overall processing time while maintaining high reliability in procedural guidance.
Data Source
AI summary
An illustrative system may access a first image sequence comprising first images, the first images based on illumination, using visible-spectrum light, of a scene associated with a medical procedure; access a second image sequence comprising second images, the second images based on illumination of the scene using non-visible spectrum light; detect an object in the second image sequence; and perform, based on the detected object, an operation with respect to the first image sequence.