Biological Tissue Visualization Using Neural Color Intensity Mapping
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Solution Overview
Problem
Existing radiological devices struggle to effectively identify and visualize complex biological tissues from captured images of a living body.
Innovation Solution
A method and apparatus utilizing a neural network-based algorithm to adjust color intensity of biological tissues in voxel-structured images, allowing for effective recognition and visualization by distinguishing between hard and soft tissues and highlighting specific areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radiological devices are used to capture images of biological tissue, then image acquisition capability is improved, but tissue identification and visualization effectiveness deteriorates
Solution Approach 1:
The patent applies color mapping to transform grayscale or raw medical images into visually distinct representations where different biological tissues are assigned different colors. This color transformation enhances the visual contrast between various tissue types, making it easier for medical professionals to identify and differentiate tissues without requiring complex analytical processing.
Solution Approach 2:
The patent employs edge detection algorithms that identify abrupt changes in pixel intensity values, effectively detecting tissue boundaries and structural features. By highlighting regions with significant intensity gradients, the system enhances the visibility of tissue interfaces and anatomical structures, improving detection effectiveness.
2Difficulty of detecting and measuring
If color intensity adjustment is applied to enhance tissue visibility, then tissue recognition effectiveness is improved, but image processing complexity increases
Solution Approach 1:
The patent applies different color intensity adjustments to different regions of the image based on local tissue characteristics. By selectively enhancing the visibility of specific tissue types or regions of interest while maintaining appropriate contrast in other areas, the system achieves effective tissue recognition without uniformly complicating the entire image processing pipeline.
Solution Approach 2:
The patent performs preliminary segmentation and classification of tissues before final visualization. By pre-identifying tissue types and their spatial distributions, the system can apply optimized color mapping and intensity adjustments in a systematic manner, reducing the overall processing complexity compared to attempting to enhance all tissues simultaneously.
Data Source
AI summary
Disclosed is an apparatus for visualizing a biological tissue. The apparatus may include a display, at least one processor, and a memory electrically connected to the processor and configured to store at least one code performed by the processor. By providing the apparatus, reading of captured images of a biological tissue may be easily performed, thereby improving user convenience.