Automated Cataract Classification for Phacoemulsification
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Solution Overview
Problem
Current methods for presetting phaco-treatment machines for cataract surgery lack accuracy in considering the varying hardness of the eye lens from core to cortex and are not automated, leading to potential errors and inefficiencies in treatment.
Innovation Solution
The method combines keratometric and OCT-based measurements to determine biometric data, analyze the local distribution of cataracts, and classify them using comparison values to set precise parameters for phaco-treatment machines, including both ultrasound and laser-based systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual manual assessment of cataract types is used for presetting phaco-treatment machines, then the process is simple to operate, but the measurement precision and reliability are insufficient
Solution Approach 1:
The patent replaces the manual visual assessment mechanism with an automated image processing system. Scheimpflug images are captured and processed by a control unit that automatically classifies cataract density and determines lens parameters, eliminating the need for manual visual evaluation and thereby improving measurement precision while maintaining operational simplicity.
Solution Approach 2:
The patent creates a digital copy of the cataract lens through Scheimpflug imaging. Instead of direct manual assessment, the system captures optical images of the lens and uses image processing to analyze cataract density and distribution, allowing for more precise and objective measurement without increasing operational complexity.
2Measurement precision
If automated image processing is used for cataract classification, then measurement precision improves, but device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it processes Scheimpflug images, classifies cataract density, determines lens parameters, and presets phaco-treatment machine settings. By consolidating these functions into a single multi-functional device, the patent improves measurement precision without proportionally increasing overall system complexity.
Solution Approach 2:
The system performs preliminary classification of cataract density and determination of lens parameters before the actual phaco-treatment. This advance processing allows the phaco-treatment machine to be preset with accurate parameters, improving measurement precision while the complexity is distributed across separate preparation and treatment phases.
3Reliability
If detailed biometric data collection is performed, then treatment reliability improves, but loss of time increases
Solution Approach 1:
The patent combines Scheimpflug imaging and OCT measurements into a single integrated diagnostic process. By merging these two measurement techniques into one unified system that captures both structural and density information simultaneously, the patent achieves high treatment reliability without the time loss that would result from separate measurement procedures.
Solution Approach 2:
The system continuously processes image data during the diagnostic phase, performing cataract classification and parameter determination in real-time as images are captured. This continuous processing eliminates delays between data collection and analysis, maintaining high treatment reliability while minimizing time loss.
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 approach enables safer, faster, and more reliable cataract treatment by providing accurate parameters for phaco-treatment machines, reducing manual errors and optimizing treatment settings based on the eye's geometry and cataract characteristics.
Implementation Method 1
wherein along with keratometric measurements, additionally OCT-based measurements are realized
Implementation Method 2
the lens is disintegrated and suctioned by application of ultrasound
Implementation Method 3
the lens is disintegrated and suctioned by application of ultrasound
Implementation Method 4
the lens is disintegrated and suctioned by application of ultrasound
Data Source
AI summary
A method for classifying a cataract of an eye to determine parameters for pre-setting phaco-treatment instruments. OCT-based measurements are realized. The OCT-based scans are analysed using imaging technology and the local distribution of the cataract is determined. The cataract is classified on the basis of comparison values and the local distribution and classification of the cataract are used to identify parameters for pre-setting phaco-treatment instruments. Even though the proposed method for classifying the cataract of an eye is provided for determining parameters for pre-setting phaco-treatment instruments, it should equally also be used for determining parameters for pre-setting treatment instruments based on fs-lasers.