ROI Table Camera for Dynamic Scan Line Imaging
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Solution Overview
Problem
Current fundus imagers face challenges in efficiently capturing multiple scan lines of varying widths within a single scanning sequence, requiring complex camera architectures and slow ROI updates, which limits their ability to adapt to changes in scan lines during imaging.
Innovation Solution
A camera architecture that allows for quick updates of the region of interest (ROI) within the sensor array by loading a table of ROI-defining entries before imaging, enabling the definition and updating of different ROIs for each scan line during the scanning sequence, thereby eliminating the need for external user instructions and facilitating on-the-fly changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a table of ROI-defining entries is loaded into the camera and the ROI-definition record is updated during the image capture sequence, then the adaptability and speed of ROI changes are improved, but the device complexity increases
Solution Approach 1:
A table of ROI-defining entries is loaded into the camera before the imaging sequence begins. This preliminary action allows the camera to quickly retrieve and switch between pre-defined ROI configurations during scanning without requiring complex real-time calculations or external interventions, thereby improving adaptability while managing device complexity.
Solution Approach 2:
The camera updates its own ROI-definition record automatically during the image capture sequence based on the loaded table, without requiring external user instructions. This self-service mechanism enables the camera to adapt to changing scan line requirements autonomously, improving versatility while reducing the complexity of external control systems.
2Productivity
If the ROI-definition record is updated during the image capture sequence, then the productivity and imaging speed are improved, but the reliability of image capture may worsen
Solution Approach 1:
Multiple ROI-defining entries are pre-loaded into the camera before the imaging sequence starts. This preliminary preparation allows the camera to switch between different ROI configurations rapidly during the scan without interrupting the image capture flow, thereby maintaining high imaging speed while ensuring reliable capture through pre-validated ROI settings.
3Adaptability or versatility
If multiple ROIs are defined and updated during scanning, then the adaptability to varying scan line widths is improved, but the device complexity increases
Solution Approach 1:
The ROI configuration is segmented into multiple discrete entries in a table, each corresponding to different scan line width requirements. This segmentation allows the camera to select and switch between specific pre-defined ROI configurations based on the current scan line characteristics, improving adaptability to varying widths while managing control complexity through structured data organization.
Solution Approach 2:
The camera changes ROI parameters (such as region boundaries and dimensions) by retrieving pre-defined entries from the loaded table, allowing rapid adaptation to varying scan line widths. This parameter change mechanism enables flexible response to different imaging requirements without requiring complex real-time parameter calculations, thereby improving versatility while controlling device complexity.
Data Source
AI summary
A camera capable of quickly updating a region of interest (ROI) in its sensor array is provided. The camera is configured to image individual scan lines of a scan imager created as a scan beam is scanned across a subject. A different ROI is defined for each scan line to be imaged. To achieve this, a table of ROI-defining entries is loaded into the camera prior to imaging the scan lines. The ROI-defining entries are used to update the sensor's ROI during the camera's Frame-Overhead-Time. In this manner, the ROI is changed in between the imaging of consecutive scans lines.