CBCT image denoising method and device, storage medium and electronic equipment

Abstract

The invention discloses a CBCT (Cone Beam Computed Tomography) image denoising method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a CBCT image; according to otsu segmentation threshold values corresponding to slices of the cross section, the coronal plane and the sagittal plane of the CBCT image, calculating a dynamic segmentation threshold value corresponding to region growth; calculating growth seed points of the cavity area according to the CBCT image; performing region growth on the cross section, coronal plane and sagittal plane of the CBCT image according to the dynamic segmentation threshold and the growth seed point to obtain a CBCT image segmentation result; performing expansion and corrosion processing on the CBCT image segmentation result to obtain a corresponding CBCT segmentation image; and combining the CBCT segmented image and processing the CBCT image to obtain a denoised CBCT image. According to the method, the dynamic segmentation threshold value is adopted as a growth condition during region growth, over-segmentation or under-segmentation is not prone to occurring when images with large noise level difference are encountered, and adaptability is good. Therefore, by implementing the method, the threshold parameter self-adaption is realized, and the robustness of the algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of radiation imaging, in particular to a CBCT image denoising method, device, storage medium and electronic equipment. Background technique [0002] In stomatology, CBCT data plays an important role, but the obtained CBCT tomographic images are often accompanied by a large amount of electronic noise and quantum noise. For example, in the brain, there are multiple cavity areas such as the mouth, throat, and nasal cavity. Ideally, these cavity areas are filled with air, and the gray value on the CBCT image should be zero. However, due to noise pollution, serious The contrast between the image cavity area and other tissue structure information is reduced, and the visual effect is poor, which affects the doctor's observation and judgment of the lesion, and also affects the post-processing task of the image information. The existing CBCT image denoising methods include TV denoising, three-dimensional block match...

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Problems solved by technology

[0003] In view of this, the embodiments of the present invention provide a CBCT image denoising method, device, storage medium and electronic equipment to solve the problem of over-segmentation or under-segmentation and poor adaptability in the prior art when segmenting CBCT images. technical problem

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