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OCT-GAN: single step shadow and noise removal from optical coherence tomography images of the human optic nerve head
Biomedical Optics Express ( IF 2.9 ) Pub Date : 2021-02-19
Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich, Tin A. Tun, Xiaofei Wang, Tin Aung, Leopold Schmetterer, Martin L. Buist, Craig Boote, Alexandre H. Thiéry, and Michaël J. A. Girard

Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians. We developed a single process that successfully removed both noise and retinal shadows from unseen single-frame B-scans within 10.4ms. Mean average gradient magnitude (AGM) for the proposed algorithm was 57.2% higher than current state-of-the-art, while mean peak signal to noise ratio (PSNR), contrast to noise ratio (CNR), and structural similarity index metric (SSIM) increased by 11.1%, 154% and 187% respectively compared to single-frame B-scans. Mean intralayer contrast (ILC) improvement for the retinal nerve fiber layer (RNFL), photoreceptor layer (PR) and retinal pigment epithelium (RPE) layers decreased from 0.362 ± 0.133 to 0.142 ± 0.102, 0.449 ± 0.116 to 0.0904 ± 0.0769, 0.381 ± 0.100 to 0.0590 ± 0.0451 respectively. The proposed algorithm reduces the necessity for long image acquisition times, minimizes expensive hardware requirements and reduces motion artifacts in OCT images.

中文翻译:

OCT-GAN:从人类视神经头的光学相干断层扫描图像中去除一步阴影和噪声

OCT B扫描中的斑点噪声和视网膜阴影会遮挡重要的边缘,精细的纹理和深层组织,从而阻止算法和临床医生进行准确而可靠的诊断。我们开发了一个单一过程,成功地在10.4毫秒内从看不见的单帧B扫描中消除了噪声和视网膜阴影。提出的算法的平均平均梯度幅度(AGM)比当前的最新技术高57.2%,而平均峰值信噪比(PSNR),对比噪声比(CNR)和结构相似性指标度量(与单帧B扫描相比,SSIM分别增加了11.1%,154%和187%。视网膜神经纤维层(RNFL),感光层(PR)和视网膜色素上皮层(RPE)的平均层内对比度(ILC)改善从0.362±0.133降至0.142±0.102、0.449±0.116降至0。0904±0.0769、0.381±0.100至0.0590±0.0451。所提出的算法减少了长图像获取时间的必要性,最大程度地降低了昂贵的硬件要求,并减少了OCT图像中的运动伪像。
更新日期:2021-02-19
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