GRIN Lens Array Light-Field Microendoscopy for Quantitative 3D Depth
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Solution Overview
Problem
Current 3D endoscopy systems primarily provide qualitative 3D visualizations without enabling quantitative volumetric rendering of tissue, depth perception, or efficient learning for trainees, which is crucial for high precision microsurgery or medical robotics.
Innovation Solution
The development of a Three Dimensional Light-Field Microendoscopy system utilizing a GRIN Lens array, which captures a reflected light field through integrated fiber optics for uniform illumination and an array of GRIN lenses, allowing for real-time, quantitative 3D anatomical visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 3D endoscopy systems are used to provide 3D visualization, then stereoscopic vision is restored, but quantitative volumetric rendering of tissue and depth perception are not enabled
Solution Approach 1:
The endoscope probe is segmented into multiple functional components: a GRIN lens array for light field capture, integrated illumination fibers, and a camera array. This segmentation enables independent optimization of each component's function while maintaining overall system compactness, resolving the contradiction between achieving quantitative 3D measurement capabilities and managing system complexity.
Solution Approach 2:
The patent replaces traditional mechanical stereoscopic display systems with a computational approach using GRIN lens arrays and light field capture. Instead of relying on complex mechanical 3D display hardware, the system uses optical field capture and computational reconstruction to achieve quantitative depth perception, reducing mechanical complexity while improving measurement precision.
2Measurement precision
If 3D endoscopy systems are used for visualization, then stereoscopic vision is provided, but quantitative volumetric rendering of tissue is not achieved
Solution Approach 1:
The GRIN lens array and integrated illumination system work autonomously to capture and process light fields, automatically generating quantitative volumetric data without requiring additional manual intervention or complex post-processing operations. The system self-services the transformation from raw optical data to quantitative 3D models, improving both rendering accuracy and operational efficiency.
Solution Approach 2:
The system changes the fundamental parameters of light field capture by using GRIN lenses with specific gradient indices and focal lengths, enabling quantitative measurement of tissue properties. By adjusting optical parameters such as lens spacing, focal distance, and illumination intensity distributions, the system achieves accurate volumetric rendering while maintaining ease of operation through automated parameter optimization.
3Productivity
If GRIN lens array is used to capture reflected light field, then real-time 3D imaging is achieved, but imaging depth and resolution are limited
Solution Approach 1:
The GRIN lens array captures light fields in multiple dimensions simultaneously - both spatial and angular information are captured in parallel. This dimensional expansion allows the system to achieve real-time 3D imaging by processing multi-dimensional data streams, maintaining both high imaging speed and resolution through parallel computational processing of the expanded data space.
Solution Approach 2:
The GRIN lens array serves multiple functions simultaneously: it focuses light, creates the light field distribution pattern, and enables depth encoding. This multi-functionality allows real-time 3D imaging without requiring separate optical components for each function, thereby maintaining imaging speed while achieving the desired resolution through efficient optical design.
4Measurement precision
If multiple off-axis sampling is performed to capture light field, then 3D reconstruction is improved, but device complexity increases
Solution Approach 1:
Different regions of the GRIN lens array have different local properties - each lens element is optimized for its specific position in the array, capturing light fields at different angles and depths. This local optimization allows high 3D reconstruction accuracy through off-axis sampling while keeping the overall device configuration manageable, as each local region performs a specialized function rather than requiring complex global control mechanisms.
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 system achieves high-resolution, real-time 3D imaging with a resolution of ~100 μm over an imaging depth of ~22 mm, enabling quantitative depth estimation and facilitating precise surgical procedures.
Implementation Method 1
an array of gradient index (GRIN) lenses configured to capture a reflected light field
Implementation Method 2
a plurality of integrated fiber optics for uniform illumination
Data Source
AI summary
An optical microendoscopy includes an endoscopic probe that has a plurality of integrated fiber optics for uniform illumination and an array of gradient index (GRIN) lenses. The GRIN lenses are configured to capture a reflected light field from one or more on-axis sampling of the reflected light field and two or more off-axis sampling of the reflected light field