Multispectral 3D Tissue Imaging for Depth-Resolved Diagnostics
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Solution Overview
Problem
Current diagnostic systems lack reliable consumer or clinical level early problem diagnostic systems that provide quantitative, depth-resolved indicators of tissue health, particularly for conditions like gingivitis and periodontitis, which are crucial for understanding disease progression and response to therapy.
Innovation Solution
A multispectral imaging system using a ring array of LEDs, a time-of-flight module, and a multispectral camera to generate a depth- and spectra-encoded data matrix, allowing for 3D imaging and spectroscopic diagnostics of tissues, combined with a processor for real-time data analysis and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used, then the system is simple and easy to operate, but measurement precision and reliability of tissue health indicators are insufficient
Solution Approach 1:
The system segments the imaging task into multiple spectral channels, with each LED wavelength (450nm, 530nm, 630nm, 850nm) capturing specific tissue information. The image sensor divides the spectral information across multiple pixels, allowing quantitative analysis of different tissue depths and compositions without requiring a single complex sensor.
Solution Approach 2:
The system adds spectral dimension to traditional 3D imaging by capturing images at multiple wavelengths simultaneously. This transforms conventional spatial imaging into multispectral imaging, enabling depth-resolved tissue diagnostics through spectroscopic analysis of reflected light at different wavelengths.
2Reliability
If multispectral imaging with multiple LEDs and sensors is implemented, then measurement precision and tissue health indicators improve, but device complexity increases
Solution Approach 1:
The image sensor performs multiple functions simultaneously: capturing spatial information, spectral information, and depth information through time-of-flight measurements. The LED array provides both illumination and spectral reference, reducing the need for separate calibration components and simplifying the overall system architecture.
Solution Approach 2:
The system merges spectral imaging, 3D imaging, and tissue diagnostics into a single integrated device. The ring array configuration combines multiple LEDs and the image sensor in one structure, allowing simultaneous acquisition of multiple data types without requiring separate devices or complex mechanical assemblies.
3Loss of information
If quantitative depth resolved spectroscopic diagnostics are provided, then loss of information is reduced, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary spectral decomposition and depth resolution during image acquisition by capturing multiple spectral channels simultaneously. This pre-processing of spectral information reduces the computational burden for later analysis, as the raw data already contains separated spectral signatures from different tissue depths.
Solution Approach 2:
The patent introduces computational algorithms as intermediaries to process the raw multispectral images and extract quantitative tissue parameters. These algorithms act as mediators between the optical measurement system and the diagnostic output, transforming complex spectral data into interpretable tissue health indicators without requiring additional hardware.
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
Enables accurate, real-time 3D imaging and spectroscopic diagnostics of tissues, providing indicators of tissue health and disease progression, facilitating early detection and prevention of chronic conditions.
Implementation Method 1
A time-of-flight module including a time-of-flight sensor and an illuminator may be provided, wherein the illuminator is configured to project a modulated light along the optical path upon the tissue and the time-of-flight sensor is configured to receive a reflected portion of the modulated light projected upon the tissue and generate a three-dimensional time-of-flight image based on the received reflected or emitted portion of the modulated light
Implementation Method 2
A multispectral camera may be configured to receive a reflected portion of the light projected in the plurality of wavelengths and generate a multispectral image based on the received reflected portion of the light
Data Source
AI summary
An imaging system, device, and method for diagnosing tissue is provided. The system may include one or more light sources (e.g., LEDs) configured to project light in a plurality of wavelengths. A module may be configured to project a modulated light, receive a reflected portion of the modulated light, and/or generate a three-dimensional image based on the received reflected portion of the modulated light. A multispectral camera may be configured to receive a reflected portion of the light and generate a multispectral image based on the received reflected portion of the light. A processor may be configured to identify the image and the multispectral image; generate a data matrix based on combining one or more portions of the image and the multispectral image; and cause the data matrix to be displayed as a three-dimensional image.