Speckle relevancy-based OCT (Optical Coherence Tomography) image analyzing method
An image analysis and correlation technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problem of not being able to distinguish structures smaller than the system resolution
Inactive Publication Date: 2014-06-25
SHANGHAI NORMAL UNIVERSITY
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[0003] The resolution of OCT existing in the prior art can reach several micrometers, yet for many applications, need to obtain the information of exceeding resolution, but the problem that OCT can't distinguish the structure smaller than system resolution physically, the purpose of the present invention is Provide an OCT image analysis method based on speckle correlation, based on speckle analysis, can obtain super-resolution microstructure information
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[0019] The technical solution of the present invention will be further described below in conjunction with the examples.
[0020] Principle of the present invention: OCT images are composed of speckles. Speckle is both an image element and an image noise. Speckle is caused by the interference of light scattered by structures in different positions in the object, such as the scattering of light by nuclei or organelles in tissues. The size of the speckle depends on the horizontal and vertical resolution of the OCT system. In general, OCT cannot discern structures beyond the resolution of the system. Since the formation of speckle comes from the change of the internal microstructure of the tissue, the speckle contains all the information of the microstructure. The present invention can obtain the microstructure information even exceeding the resolution of the system through the speckle statistical analysis of the OCT image.
[0021] The speckle analysis of the OCT image can b...
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The invention discloses a speckle relevancy-based OCT (Optical Coherence Tomography) image analyzing method. The method comprises the following steps of: firstly obtaining a plurality of corresponding OCT images of one same imaged object at different wavelength sections; or obtaining a plurality of corresponding OCT images of one same imaged object at different angles by using one same light source; for the different OCT images, taking processing windows of the same size at the same positions in the OCT images respectively; subsequently calculating the pixel strength in the processing windows and carrying out the relevancy analysis through the calculation of relevancy functions; synchronously moving the processing windows till the images of the whole OCT are traversed; and according to the analysis on the relevancy of the parts of a plurality of OCT images, reconstructing images subjected to the speckle relevancy and obtaining microstructure information of the imaged object. In early disease diagnosis, the changes of fine structures in cells, such as submicron dimension grade, are needed to be discriminated respectively; and with the adoption of the OCT image analyzing method provided by the invention, the changes on cellular level of the submicron dimension grade can be extracted.
Description
technical field [0001] The present invention relates to the statistical analysis of the speckle of the image obtained by optical image tomography, and more specifically relates to an OCT image analysis method based on the speckle correlation. Background technique [0002] Optical Coherence Tomography (OCT) is an imaging method based on white light interference. The principle of OCT can be compared to ultrasound imaging. In ultrasound, images are reconstructed by measuring the intensity and delay time of sound pulses reflected by tissue at various depths. Due to the high speed of light, we currently do not have the ability to directly measure the delay of light pulses. However, we can use interferometers to measure the relative delay of light to achieve tomographic images. The horizontal resolution of OCT depends on the effective numerical aperture of the imaging arm optics, while the axial resolution depends on the bandwidth of the light source. Although the resolution of...
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IPC IPC(8): A61B5/00
Inventor 王笑梅
Owner SHANGHAI NORMAL UNIVERSITY