Low-dose CT denoisingHigh and low frequencyOctave convolutionLow-dose CT denoising has been studied to reduce radiation exposure to patients. Recently, deep learning-based techniques have improved the CT denoising performance, but it is difficult to reflect the characteristics of signals concerning ...
DoseCheckManagement4 图像质量:空间分辨率≤0.30mm 密度分辨率≤5mm@0.30%at10.6mGy CT值的准确性——IR和FBP的CT值没有统计学差异2 1.NEnglJMed2013;368:1980-91 2.ASiRWhitePaper 3.LungCancerScreeningOptionWhitePaper 4.DoseCheckManagementWhitePaper ...
目的:研究低剂量CT(low-dose CT,LDCT)在亚实性肺腺癌结节影像分期中的应用效果.方法:抽取43例亚实性肺腺癌患者为研究对象(2016年12月至2020年1月),所有患者均经病理检查明确为亚实性肺腺癌,予以CT诊断,进行结节影像分期.观察结节CT分期与病理分期情况.结果:CT诊断显示,GGO 44.19%,磨玻璃影25.58%,模糊结节30.23...
To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant deterioration of the image quality. In this paper, we propose a noise reduction method for low-dose CT via deep neural network without accessing ...
3.1 Low-dose CT denoising with convolutional neural network[8] 第一篇有代表性的用深度学习方法进行LDCT去噪的作品,是ISBI 2016年川大的,网络非常的简单,文中也没有给网络结构图,就是一个三层的卷积加ReLU,这篇文章发表的时候AAPM比赛还未发出,所以数据集不同。
摘要: 目的:研究低剂量CT(low-dose CT,LDCT)在亚实性肺腺癌结节影像分期中的应用效果.方法:抽取43例亚实性肺腺癌患者为研究对象(2016年12月至2020年1月),所有患者均经病理检查明确为亚实性肺腺癌,予以CT诊断,进行结节影像分期.观察结节CT分期与病理分期情况.结果:CT诊断显示,GGO 44.19%... 查看全部>> ...
[Hu Chen et., al] Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) 1 文章核心思想 低剂量CT重建问题是近年以来在生物医学图像领域有一定研究价值的topic,传统算法包括频率域滤波算法以及迭代重建算法,二者共同的问题是需要对raw data进行运算,相对的复杂度较高。随着深度学习...
Hence, advanced image reconstruction from low-dose CT data is needed to improve the diagnostic performance, which is a challenging problem due to its ill-posed nature. Over the past years, various low-dose CT methods have produced impressive results. However, most of the algorithms developed for...
论文学习20“Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distan... 这篇文章就是WGAN的一个应用,2018 IEEE TRANSACTIONS ON MEDICAL IMAGING的文章,应用于低剂量CT的重建问题,文章模型总体结构如下: 作者应该是受到SRGAN的影响,将VGG的损失函数带到了网络里,不纯粹的使用...
The potential of low-dose computed tomography (CT) of the lungs was critically evaluated in two patients with normal-appearing lungs and 10 patients with a wide diversity of underlying parenchymal abnormalities. At each of five levels, in addition to routine scans obtained at 120 kVp and 140 mA...