Ophthalmoscope Image Storage Format Selection
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Solution Overview
Problem
Current ophthalmological imaging technologies face challenges in efficiently saving and managing high-capacity data from both confocal and non-confocal images acquired by adaptive optics scanning laser ophthalmoscopes, leading to storage inefficiencies and potential loss of crucial image data.
Innovation Solution
An information processing apparatus and method that acquires both confocal and non-confocal images, decides on optimal saving formats and methods based on image type, quality, and anatomical features, allowing for efficient storage by allocating data amounts according to the importance of the images for observation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If both confocal and non-confocal images are acquired and saved with equal data allocation, then complete diagnostic information is preserved, but storage capacity is wasted and management efficiency deteriorates
Solution Approach 1:
The patent applies local quality by assigning different data allocation priorities to different image types based on their diagnostic value. Confocal images of the retinal nerve fiber layer are allocated higher data priority since they provide critical diagnostic information, while non-confocal images are allocated lower priority. This differential allocation optimizes storage capacity usage while preserving essential diagnostic information.
Solution Approach 2:
The patent changes the parameter of data allocation priority based on image type characteristics. By introducing a priority classification system that adjusts data retention parameters according to whether images are confocal or non-confocal, the system achieves efficient storage management while maintaining diagnostic reliability.
2Measurement precision
If all acquired images are saved in high resolution, then diagnostic accuracy is improved, but storage capacity is rapidly consumed
Solution Approach 1:
The patent applies local quality by saving images at different resolution qualities based on their diagnostic importance. High-resolution saving is applied selectively to confocal images that require precise diagnostic analysis, while non-confocal images are saved at lower resolutions. This approach maintains diagnostic accuracy for critical images while reducing overall storage consumption.
Solution Approach 2:
The patent implements partial action by applying full-resolution saving only to the extent necessary for diagnostic accuracy. Instead of uniformly saving all images at maximum resolution, the system applies high-resolution saving only to confocal images where it is diagnostically essential, and uses reduced resolution for other image types.
3Measurement precision
If confocal images are saved with high data allocation, then nerve fiber layer observation quality is improved, but storage efficiency for other image types deteriorates
Solution Approach 1:
The patent applies local quality by allocating high data priority specifically to confocal images of the retinal nerve fiber layer, while allocating lower priority to non-confocal images. This localized high-quality preservation ensures excellent nerve fiber layer observation while maintaining reasonable overall storage efficiency through differential allocation.
Data Source
AI summary
An information processing apparatus includes: an image acquiring unit configured to acquire a plurality of types of images of an eye, including a confocal image and a non-confocal image of the eye; a deciding unit configured to decide a saving format for saving the confocal image and non-confocal image in a storage region; and a saving unit configured to save at least one of the acquired plurality of types of images in the storage region, based on the decided saving format.