Dual-Energy CT Images: Pearls and Pitfalls

医学 数字增强无线通信 人工智能 计算机视觉 单色 放射科 计算机科学 光学 电信 物理 无线
作者
Anushri Parakh,Simon Lennartz,Chansik An,Prabhakar Rajiah,Benjamin M. Yeh,F. Joseph Simeone,Dushyant V. Sahani,Avinash Kambadakone
出处
期刊:Radiographics [Radiological Society of North America]
卷期号:41 (1): 98-119 被引量:124
标识
DOI:10.1148/rg.2021200102
摘要

Dual-energy CT (DECT) is a tremendous innovation in CT technology that allows creation of numerous imaging datasets by enabling discrete acquisitions at more than one energy level. The wide range of images generated from a single DECT acquisition provides several benefits such as improved lesion detection and characterization, superior determination of material composition, reduction in the dose of iodine, and more robust quantification. Technological advances and the proliferation of various processing methods have led to the availability of diverse vendor-based DECT approaches, each with a different acquisition and image reconstruction process. The images generated from various DECT scanners differ from those from conventional single-energy CT because of differences in their acquisition techniques, material decomposition methods, image reconstruction algorithms, and postprocessing methods. DECT images such as virtual monochromatic images, material density images, and virtual unenhanced images have different imaging appearances, texture features, and quantitative capabilities. This heterogeneity creates challenges in their routine interpretation and has certain associated pitfalls. Some artifacts such as residual iodine on virtual unenhanced images and an appearance of pseudopneumatosis in a gas-distended bowel loop on material-density iodine images are specific to DECT, while others such as pseudoenhancement seen on virtual monochromatic images are also observed at single-energy CT. Recognizing the potential pitfalls associated with DECT is necessary for appropriate and accurate interpretation of the results of this increasingly important imaging tool. Online supplemental material is available for this article. ©RSNA, 2021
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
充电宝应助lovdfg123采纳,获得10
刚刚
1秒前
陈陈潇发布了新的文献求助20
1秒前
2秒前
2秒前
2秒前
宁宁发布了新的文献求助10
2秒前
年年发布了新的文献求助10
2秒前
JONG发布了新的文献求助10
2秒前
ijcai发布了新的文献求助10
3秒前
4秒前
5秒前
SunH发布了新的文献求助10
5秒前
yzy完成签到,获得积分10
5秒前
烟花应助陌上花开采纳,获得30
5秒前
爱吃无核瓜子完成签到,获得积分10
7秒前
hailee发布了新的文献求助10
7秒前
jiazunyao完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
9秒前
Ankhtt完成签到,获得积分10
9秒前
包容寻菡完成签到,获得积分10
9秒前
9秒前
10秒前
i1发布了新的文献求助10
10秒前
李健的粉丝团团长应助yzy采纳,获得10
12秒前
ta完成签到,获得积分10
12秒前
999999应助Ankhtt采纳,获得10
13秒前
星辰大海应助liuxun_0711采纳,获得10
13秒前
认真的乘风完成签到,获得积分10
13秒前
13秒前
隐形曼青应助xiong采纳,获得10
13秒前
ficus_min发布了新的文献求助10
14秒前
AAAA完成签到,获得积分20
14秒前
14秒前
xsy完成签到,获得积分10
14秒前
dongxuzhen完成签到,获得积分10
14秒前
wanci应助Shinewei采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7343646
求助须知:如何正确求助?哪些是违规求助? 8956336
关于积分的说明 19016291
捐赠科研通 6995771
什么是DOI,文献DOI怎么找? 3219581
关于科研通互助平台的介绍 2384642
邀请新用户注册赠送积分活动 2199783