| 多尺度条件卷积的OCT视网膜图像降噪研究 |
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| 引用本文： | 周旭东,陈明惠,马文飞,赖湘玲,黄铎文,刘渡新,马昕宏.多尺度条件卷积的OCT视网膜图像降噪研究[J].光学技术,2022,48(1):102-108. |
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| 作者姓名： | 周旭东 陈明惠 马文飞 赖湘玲 黄铎文 刘渡新 马昕宏 |
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| 作者单位： | 上海理工大学医疗器械与食品学院上海介入医疗器械工程技术研究中心,上海200093 |
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| 基金项目： | 上海市科委产学研医项目(15DZ1940400)。 |
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| 摘 要： | 散斑噪声存在于光学相干层析成像(OCT)中,影响OCT图像质量.在使用OCT设备诊断各种常见眼科疾病时,高质量的OCT图像是极为重要的.利用深度神经网络对OCT图像进行降噪处理,使图像在保留空间结构细节的基础上能展示更多的信息.提出了一种基于残差学习网络的新型OCT图像降噪网络-CMCNN,其具有多尺度、多权重和多层次...
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| 关 键 词： | 光学相干层析技术 图像降噪 条件卷积 多尺度 |
OCT retinal image denoising based on multi-scale conditional convolution Neural Networks |
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| ZHOU Xudong,CHEN Minghui,MA Wenfei,LAI Xiangling,HUANG Zengwen,LIU Duxin,MA Xinhong.OCT retinal image denoising based on multi-scale conditional convolution Neural Networks[J].Optical Technique,2022,48(1):102-108. |
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| Authors: | ZHOU Xudong CHEN Minghui MA Wenfei LAI Xiangling HUANG Zengwen LIU Duxin MA Xinhong |
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| Institution: | (Shanghai Engineering Research Center of Interventional Medical Device,School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | Speckle noise exists in Optical Coherence Tomography(OCT)and affects the quality of OCT images.In the diagnosis of various common eye diseases by OCT equipment,high quality OCT images are extremely important.Deep neural network is used to reduce the noise of OCT images,so that the images can show more information on the basis of retaining the details of spatial structure.A novel OCT image denoising network,CMCNN,based on residual learning network,is proposed.It has the characteristics of multi-scale,multi-weight and multi-level feature fusion,and reduces image noise while preserving the spatial structure of image details.Then the proposed model is compared with traditional denoising algorithm and deep learning denoising model.Experimental results show that the peak signal-to-noise ratio(PSNR)and structural similarity(SSIM)of CMCNN are improved by about 2.5%compared with other deep learning methods.It is verified that the proposed method can effectively retain the details of OCT images,suppress the noise and improve the image quality. |
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| Keywords: | optical coherence tomography image noise reduction conditional convolution multi-scale convolution |
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