OCT image adaptive noise estimation method and system
A noise estimation and self-adaptive technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of insufficient fine detail processing, failure to collect special cases, and high requirements for feature details
Pending Publication Date: 2021-06-25
广东唯仁医疗科技有限公司
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[0005] The existing OCT image processing method has high requirements on the number of image frames, and needs more frames of images to obtain image data with good noise reduction effect, and the details are not processed finely enough to meet the diagnostic requirements, especially for some special cases When it is impossible to collect enough frames and the pathological diagnosis process has high requirements for feature details, it cannot meet the requirements
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[0063] The disclosed method was applied to a set of images of the posterior segment of the human eye acquired by an SD-OCT system. Two-dimensional imaged OCT fundus tomograms collected from the eyes of multiple volunteers, such as figure 2 (a) shown. The collected part was taken in the optic disc area of the retina. The image has a clear layered structure and good morphological characteristics. In the figure, the shadow part of the main blood vessel and the microcapillary of the posterior choroid can be seen. However, because of the background noise introduced by the OCT imaging system, it directly affects the figure 2 The presentation of each detail in (a).
[0064] exist figure 2 OCT imaging images of the posterior segment of the human eye collected by the experimental system in (a). (b) OCT image of the posterior segment of the human eye after denoising by the above method. The resolution of the input image is 1024*1000. According to the method proposed in this di...
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The invention discloses an OCT (Optical Coherence Tomography) image adaptive noise estimation method and system. According to the signal and noise characteristics of an image acquired by the system, a bivariate shrinkage complex wavelet noise reduction theory is combined, the establishment of a related mathematical model and a noise reduction experiment of an actual OCT image are carried out, multi-frame image superposition noise reduction is widely applied due to a good noise reduction effect, but the problems that enough multi-frame images cannot be collected for special cases, and the requirement for feature details in the pathological diagnosis process is high cannot be well solved; According to the method and system, the image with the high-quality imaging effect can still be provided under the condition that enough frame images cannot be provided, and the influence of noise on the image quality can be effectively reduced on the premise that the detail features of the image are reserved for a scene in which feature detail signals need to be reserved to the maximum extent on the premise that background noise needs to be removed.
Description
technical field [0001] The present disclosure relates to the fields of optical coherence tomography and image processing, and in particular to an OCT image adaptive noise estimation method and system. Background technique [0002] Optical Coherence Tomography (OCT) [1] Introduced in 1991, it is a new type of optical imaging technology that uses a low-coherence light source as an excitation to perform tomographic imaging on the detection sample. The resolution in the depth direction of the system is determined by the low coherence length of the broadband light source, which can reach the micron level, which is 10-100 times that of ultrasonic imaging. With the development of nearly three decades, the sensitivity and imaging speed of the OCT system have been greatly improved from time domain to frequency domain to spectral domain and frequency sweep domain. Due to the superior imaging performance of OCT and the needs of clinical examination, it has been widely used in ophthal...
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IPC IPC(8): G06T5/00
CPCG06T2207/10101G06T2207/30101G06T2207/30041G06T2207/20104G06T5/70
Inventor 秦嘉刘华宗
Owner 广东唯仁医疗科技有限公司