Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography
Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography
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DOI：
10.1148/rg.2018170173
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发表时间：
2018-11-01
期刊：
影响因子：
5.5
通讯作者：
Yoshida, Hiroyuki
中科院分区：
文献类型：
--
作者：
Tachibana, Rie;Nappi, Janne J.;Yoshida, Hiroyuki
电子清洁（EC）用于计算性清除CT结肠成像图像上标记有口服造影剂的残留粪便和液体，以提高虚拟内窥镜“飞越”阅读期间息肉的可见性。CT结肠成像的最新趋势是在患者进行减少或非泻药肠道准备后进行低剂量CT扫描。尽管存在几种EC方案，但它们已被开发用于泻药肠道准备和高辐射剂量CT，因此，在低剂量下与非泻药肠道准备一起使用，它们往往会产生分散和误导读者的清洁伪影。深度学习可用于改善CT结肠成像中EC的图像质量。与单能量CT结肠成像相比，深度学习EC在双能量下产生的清洁伪影要少得多，因为双能量信息可用于比单X射线衰减值更精确地识别结肠中的相关物质。由于CT结肠成像中带注释的训练图像的数量有限，因此迁移学习可用于深度学习算法的适当训练。本文的目的是回顾传统EC方案中分散和误导读者的清洁伪影的原因，描述深度学习和双能量CT结肠成像在结肠EC中的应用，并证明在非泻药肠道准备的单能量和双能量CT结肠成像中，EC和深度学习对图像质量的改善。(C)RSNA，2018
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. A recent trend in CT colonography is to perform a low-dose CT scanning protocol with the patient having undergone reduced- or noncathartic bowel preparation. Although several EC schemes exist, they have been developed for use with cathartic bowel preparation and high-radiation-dose CT, and thus, at a low dose with noncathartic bowel preparation, they tend to generate cleansing artifacts that distract and mislead readers. Deep learning can be used for improvement of the image quality with EC at CT colonography. Deep learning EC can produce substantially fewer cleansing artifacts at dual-energy than at single-energy CT colonography, because the dual-energy information can be used to identify relevant material in the colon more precisely than is possible with the single x-ray attenuation value. Because the number of annotated training images is limited at CT colonography, transfer learning can be used for appropriate training of deep learning algorithms. The purposes of this article are to review the causes of cleansing artifacts that distract and mislead readers in conventional EC schemes, to describe the applications of deep learning and dual-energy CT colonography to EC of the colon, and to demonstrate the improvements in image quality with EC and deep learning at single-energy and dual-energy CT colonography with noncathartic bowel preparation. (C) RSNA, 2018