OCT Data Resampling for Flexible Imaging Windows and Resolution
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Solution Overview
Problem
Existing optical coherence tomography (OCT) methods require multiple measurements to change the imaging window and resolution, leading to potential noise due to subject movement and increased computational complexity.
Innovation Solution
A method for numerical processing of OCT data using calibration parameters to convert input data into output data, allowing for arbitrary changes in imaging window and resolution without altering the optical system, utilizing k-space resampling and polynomial functions to process data from a single measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple measurements are performed to change the imaging window and resolution, then the flexibility and adaptability of the OCT system is improved, but the complexity of the measurement process increases and noise from subject movement is introduced
Solution Approach 1:
The patent performs k-space resampling on the entire detected spectrum data before generating any images. By preprocessing the raw spectral data with flexible sampling parameters, the system creates a reservoir of resampled data that can generate multiple images with different imaging windows and resolutions without requiring additional measurements or subject repositioning.
Solution Approach 2:
The patent segments the detected spectrum data into different k-space ranges through resampling operations. By applying different sampling parameters to the same raw data, the system creates multiple virtual datasets that correspond to different imaging depths and resolutions, effectively segmenting the information content without physical remeasurement.
2Adaptability or versatility
If multiple measurements are performed to acquire different imaging windows, then the depth range and spectral resolution are improved, but the time required for data acquisition and processing increases
Solution Approach 1:
The system performs comprehensive k-space resampling of the entire spectral dataset in advance, creating multiple resampled versions with different parameters before any image generation occurs. This preliminary processing of the raw data allows rapid generation of multiple images with varying depth ranges and resolutions without requiring additional measurement time.
Solution Approach 2:
The patent creates virtual copies of the original spectral data through numerical resampling operations. Instead of physically remeasuring the sample multiple times, the system generates multiple copies of the data with different k-space sampling characteristics, allowing different imaging parameters to be extracted from identical physical measurements.
3Manufacturing precision
If the imaging window height is changed by using different sets of measurements, then the resolution and depth range are improved, but the device complexity and processing power requirements increase
Solution Approach 1:
The patent replaces physical optical adjustments and multiple measurement acquisitions with numerical k-space resampling operations. Instead of mechanically changing optical components or repeating measurements, the system uses computational algorithms to resample the spectral data in k-space, achieving different imaging windows and resolutions through software-based signal processing.
Solution Approach 2:
The system achieves different imaging characteristics by changing the sampling parameters in the k-space domain. By adjusting the sampling start position, sampling interval, and number of samples during the resampling process, the system generates images with varying depth ranges and resolutions from the same raw spectral data without physical system modifications.
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
Enables flexible adjustment of imaging window and resolution with reduced computational power, improving image quality and reducing the need for multiple measurements, while maintaining high reliability and efficiency.
Implementation Method 1
the first light beam and the second light beam are merged and interfere with each other in the coupler
Implementation Method 2
passing the merged light beams through a diffraction grating; recording the data in the form of a spectrum of the merged light beams
Data Source
AI summary
The object of the invention is a system, a device and a method for numerical processing of input data, which input data have the form of N measurement results forming a vector with coordinates numbered from 0 to N−1, and which input data have been recorded in a detector, in an optical coherence tomography device, OCT, during a process involving:the emission of light by a light source,splitting the light in a coupler into at least two paths, meaning: a reference path, in which a reference light beam is reflected from a mirror, and a sample path, in which a sample light beam is reflected from the object under examination,reflecting said reference light beam in at least one reference path from the mirror andreflecting said sample light beam in at least one sample path from the object under examination,mutual merging and interference of the reference light beam and the sample light beam in the coupler,recording the data in the form of a spectrum of merged light beams within a specified light wavelength range by means of said detector as said vector of N measurement results.