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A method for automatic estimation of choroidal thickness

A choroidal, automatic technology, applied in the field of medical image processing, can solve problems such as poor flexibility, and achieve the effects of improving accuracy, resisting noise interference, and improving anti-noise ability.

Active Publication Date: 2022-07-01
WEST CHINA HOSPITAL SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

However, this method needs to collect a large number of accurately labeled samples for training, and has poor flexibility in actual use.

Method used

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  • A method for automatic estimation of choroidal thickness
  • A method for automatic estimation of choroidal thickness
  • A method for automatic estimation of choroidal thickness

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Experimental program
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Embodiment Construction

[0028] A real OCT image from West China Hospital of Sichuan University is used as the implementation object. The image size is 400×765, the format is 8-bit jpg format grayscale image, and the scale relationship is 4 μm / pixel. The specific calculation process is as follows: figure 1 The specific process is as follows:

[0029] S1. Decompose the input image into a structure layer image and a detail layer image: set the regularization parameter to 0.2, decompose the input grayscale image based on the total variation model, and obtain the decomposed structure layer image and detail layer image;

[0030] S2. Estimating the initial position of the upper choroid boundary: for the image of the structural layer obtained by the image decomposition in step S1, taking the data in the 100th column of the image as an example, the maximum pixel value in the 100th column of the image is 0.7031, so the threshold is set to 0.6328 (ie, 0.7031 times 0.7031 0.9); then find the pixels with a pixel...

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Abstract

The invention discloses a method for automatically estimating choroidal thickness, which is applied to medical image processing technology, in order to solve the problems of high complexity, large manual estimation error and low estimation efficiency of the existing self-arterial choroidal thickness estimation algorithm; The OCT image is decomposed to obtain the structural layer image and the detail layer image; then the upper choroid boundary is estimated from the structural layer image; secondly, the lower choroidal boundary is estimated from the detail layer image; finally, according to the estimated upper choroidal boundary and the estimated choroidal lower boundary, calculate Choroid thickness; the method of the invention has the characteristics of simple calculation and good effect, and is very suitable for automatic thickness estimation of the choroid of the fundus OCT image in clinical practice.

Description

technical field [0001] The invention belongs to the medical image processing technology, and particularly relates to a technology for segmenting the choroid and estimating the thickness of the choroid from a fundus optical coherence tomography (OCT) image. Background technique [0002] In fundus OCT images, changes in choroidal thickness can provide very important reference information for fundus lesions (such as choroidal disease), as well as the occurrence, development, prevention and control of myopia. However, due to the complex structure of the fundus and the limited imaging quality of OCT technology, the OCT images obtained from mechanical equipment often have the characteristics of low contrast and high noise. Therefore, in practical clinical applications, doctors are often required to manually label and measure the choroidal thickness. Manual measurement of choroidal thickness is not only time-consuming and labor-intensive, but also has errors between different doct...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/60
CPCG06T7/0012G06T7/13G06T7/60G06T2207/10101G06T2207/30041
Inventor 王将栏刘陇黔边思予何霄
Owner WEST CHINA HOSPITAL SICHUAN UNIV
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