Wavefront Pre-smoothing for Vision Treatment Targets
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Solution Overview
Problem
Current wavefront-based laser vision correction techniques often rely on a single wavefront measurement, which may include transient small-scale spatial variations, leading to inconsistent treatment targets and potential inefficiencies in treatment planning.
Innovation Solution
The use of pre-smoothing techniques, such as low pass filtering and Fourier domain convolution, to dampen or eliminate high frequency features from wavefront measurements, resulting in a modified ocular wavefront that is used to generate a vision treatment target, which may be deconvolved for administration to the patient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single wavefront measurement is used for treatment planning, then the treatment process is simple and quick, but the treatment target accuracy deteriorates due to transient small-scale spatial variations
Solution Approach 1:
The patent applies pre-smoothing processing to wavefront measurements before treatment planning. This preliminary action removes transient high-frequency spatial variations from the wavefront data, ensuring that the treatment target is generated from cleaned measurements. The smoothing operation is performed in advance on multiple measurements, allowing efficient selection of a pre-processed measurement for treatment planning without sacrificing accuracy.
2Manufacturing precision
If multiple wavefront measurements are taken and averaged, then transient high frequency features are reduced, but the processing time and computational complexity increase
Solution Approach 1:
The patent extracts and removes only the harmful high-frequency transient components from wavefront measurements using smoothing filters, while preserving the useful low-frequency aberration information. This selective extraction approach eliminates the need to process and average multiple complete measurements, reducing computational complexity while still achieving consistent treatment targets by removing only the problematic transient variations.
3Measurement precision
If high spatial frequency features are preserved in the wavefront measurement, then measurement detail accuracy is improved, but treatment consistency deteriorates due to transient variations
Solution Approach 1:
The patent applies different processing qualities to different spatial frequency components of the wavefront measurement. Low-frequency components (representing stable aberrations) are preserved with high fidelity for accurate treatment planning, while high-frequency components (representing transient variations) are smoothed or removed. This local quality differentiation ensures treatment consistency by stabilizing the transient-prone high-frequency regions while maintaining measurement precision for the stable low-frequency aberration features.
Data Source
AI summary
Embodiments of the present invention encompass systems and methods for generating a vision treatment target for an eye of a patient. Exemplary techniques can involve obtaining a wavefront measurement for the eye of the patient, processing the wavefront measurement, using a low pass filter, to obtain an ocular wavefront, and generating the vision treatment target based on the ocular wavefront. In some cases, the wavefront is processed by applying a Fourier transform to the wavefront measurement to obtain a Fourier spectrum of the wavefront, convolving, in the Fourier domain, the Fourier spectrum of the wavefront and the low pass filter to obtain a Fourier spectrum convolution result, and applying an inverse transform to the convolution result to obtain the ocular wavefront. The ocular wavefront can represent a low pass filtered version of the wavefront measurement, such that high spatial frequency features present in the wavefront measurement are not present in the ocular wavefront.