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Tear meniscus L layer optical coherence tomography (OCT) test data analysis method and device

A technology of detection data and analysis methods, applied in the fields of eye testing equipment, medical science, diagnosis, etc., can solve problems such as unsatisfactory detection results, and achieve the objective effect of OCT detection data analysis results

Inactive Publication Date: 2012-10-24
林晨 +1
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Problems solved by technology

[0009] However, the detection results of OCT detection methods like this are not satisfactory

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  • Tear meniscus L layer optical coherence tomography (OCT) test data analysis method and device
  • Tear meniscus L layer optical coherence tomography (OCT) test data analysis method and device
  • Tear meniscus L layer optical coherence tomography (OCT) test data analysis method and device

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Embodiment Construction

[0045] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0046] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0047] Such as Figure 4 As shown, the solid line draws the schematic structure of Laihe 1, and the flat spindle-shaped structure shown in the middle shadow is Laihe L-layer 2, which is located on the surface of Laihe 1, centered on the center, and thinned on both sides narrowed.

[0048] Figure 5a It is the front view of L layer of Laihe River (parallel to the frontal direction of human eyes), Figure 5b It is a coronal cross-sectional view of Laihe River L layer.

[0049] Figure 6 This is a th...

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Abstract

The invention discloses an optical coherence tomography (OCT) test data analysis method and a device thereof which have remarkable advancement compared with OCT test data analysis methods and devices thereof in prior art. The method includes the following steps of step one, obtaining OCT scanning signal data at the position of eye tear meniscus; step two, analyzing the scanning signal data obtained from the step one, and judging whether a false image signal exists or not; and step three, calculating the scanning signal data obtained from the step one according to a judgment result of the step two, and outputting an OCT test result. According to the OCT test data analysis method and the device thereof, an interference of the false image signal to an OCT test data analysis process is considered during a calculation process, firstly a scanning signal is judged so as to determine whether the false image signal exists or not, and an analysis result of the false image signal is considered during the calculation process or when the result is output. The false image signal is considered, so that the analysis result of the OCT test data is objective and accurate.

Description

technical field [0001] The present invention relates to the field of detection data analysis, in particular to an OCT (optical coherence tomography or optical coherence tomography, Optical Coherence Tomography) detection data analysis method and device. Background technique [0002] The tear river is a crescent-shaped structure located at the junction of the lower eyelid margin and the cornea and conjunctiva due to the collection of tears. The examination of the tear river is helpful for the diagnosis of ophthalmological problems such as dry eye, but the traditional The tear river examination is greatly affected by subjective factors, and its reliability is limited. In recent years, with the use of optical coherence tomography (OCT) in ophthalmology, the advantages of non-invasiveness, speed and accuracy of OCT examination can overcome the defects of traditional tear river estimation and detect ocular surface symptoms such as dry eye syndrome. The diagnosis and analysis of ...

Claims

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Application Information

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IPC IPC(8): A61B3/14
Inventor 林晨
Owner 林晨
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