3D Imaging via Segmented 2D Sensors and Localization
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Solution Overview
Problem
Current minimally invasive medical procedures lack effective systems for generating accurate three-dimensional images of target tissues during interventional procedures, which hinders precise navigation and intervention in complex anatomical environments.
Innovation Solution
A system comprising an elongate flexible instrument with an imaging device and a localization sensor, where a controller captures two-dimensional images in multiple configurations and generates three-dimensional images by integrating localization data from the sensor, allowing for precise tracking and visualization of target tissues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If minimally invasive medical tools are used to reach target tissue locations, then patient recovery time and discomfort are reduced, but the ability to obtain accurate three-dimensional images of target tissues is limited
Solution Approach 1:
The imaging system is segmented into multiple independent 2D imaging devices positioned at different locations within the elongate flexible instrument. Each device captures images from a specific angle, and the controller integrates these segmented 2D images into a comprehensive 3D representation of the target tissue, resolving the contradiction between minimal invasiveness and imaging accuracy.
Solution Approach 2:
The system transforms multiple two-dimensional images captured from different angular dimensions into a three-dimensional representation of the target tissue. By acquiring images at various orientations and combining them through image integration algorithms, the system achieves 3D visualization without requiring a complex dedicated 3D imaging device, thus maintaining minimal invasiveness while improving imaging accuracy.
2Measurement precision
If multiple two-dimensional images are captured in different configurations, then three-dimensional image accuracy is improved, but the time and complexity of image processing increases
Solution Approach 1:
The system pre-establishes the spatial relationships and geometric transformations between multiple imaging devices before actual imaging occurs. By pre-configuring the coordinate systems and transformation matrices that will be used to integrate the 2D images into 3D space, the system reduces the computational burden during real-time operation, thereby decreasing processing time while maintaining 3D image precision.
Solution Approach 2:
The controller implements feedback mechanisms that continuously monitor the positions and orientations of the imaging devices, automatically adjusting the image integration parameters to maintain optimal 3D reconstruction accuracy. This real-time feedback allows the system to compensate for minor positioning variations without requiring extensive re-processing, thus reducing overall processing time while preserving measurement precision.
Data Source
AI summary
A system may comprise an elongate flexible instrument including an imaging device and a localization sensor. The system may capture a first 2D image with the imaging device in a first imaging configuration and receive first localization data for the distal portion of the elongate flexible instrument from the localization sensor while the imaging device is in the first imaging configuration. The system may also create a first image data set including the first localization data and the first 2D image, capture a second 2D image with the imaging device in a second imaging configuration, and receive second localization data for the distal portion while the imaging device is in the second imaging configuration. The system may also create a second image data set including the second localization data and the second 2D image and generate a 3D image based on a plurality of image data sets.