Image quality optimization and evaluation of linearly mixed images in dual-source, dual-energy CT

图像质量 成像体模 核医学 能量(信号处理) 数据集 剂量学 辐射 医学影像学 迭代重建 图像噪声 医学 人工智能 物理 计算机科学 光学 数学 图像(数学) 统计
作者
Lifeng Yu,Andrew N. Primak,Xin Liu,Cynthia H. McCollough
出处
期刊:Medical Physics [Wiley]
卷期号:36 (3): 1019-1024 被引量:149
标识
DOI:10.1118/1.3077921
摘要

In dual‐source dual‐energy CT, the images reconstructed from the low‐ and high‐energy scans (typically at 80 and 140 kV, respectively) can be mixed together to provide a single set of non‐material‐specific images for the purpose of routine diagnostic interpretation. Different from the material‐specific information that may be obtained from the dual‐energy scan data, the mixed images are created with the purpose of providing the interpreting physician a single set of images that have an appearance similar to that in single‐energy images acquired at the same total radiation dose. In this work, the authors used a phantom study to evaluate the image quality of linearly mixed images in comparison to single‐energy CT images, assuming the same total radiation dose and taking into account the effect of patient size and the dose partitioning between the low‐and high‐energy scans. The authors first developed a method to optimize the quality of the linearly mixed images such that the single‐energy image quality was compared to the best‐case image quality of the dual‐energy mixed images. Compared to 80 kV single‐energy images for the same radiation dose, the iodine CNR in dual‐energy mixed images was worse for smaller phantom sizes. However, similar noise and similar or improved iodine CNR relative to 120 kV images could be achieved for dual‐energy mixed images using the same total radiation dose over a wide range of patient sizes (up to 45 cm lateral thorax dimension). Thus, for adult CT practices, which primarily use 120 kV scanning, the use of dual‐energy CT for the purpose of material‐specific imaging can also produce a set of non‐material‐specific images for routine diagnostic interpretation that are of similar or improved quality relative to single‐energy 120 kV scans.

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
丰富画笔发布了新的文献求助10
1秒前
共享精神应助小鱼采纳,获得10
1秒前
桐桐应助维洛尼亚采纳,获得10
1秒前
75986686完成签到,获得积分10
1秒前
传奇3应助无问采纳,获得10
1秒前
bkagyin应助宁不惜采纳,获得10
2秒前
积极土豆完成签到,获得积分10
2秒前
冰可乐真的好喝完成签到,获得积分10
2秒前
2秒前
椰子完成签到,获得积分10
2秒前
Sylvia完成签到,获得积分10
3秒前
YL发布了新的文献求助10
3秒前
家有小涵完成签到,获得积分10
3秒前
王大帅哥完成签到,获得积分10
5秒前
桐桐应助sunjian采纳,获得10
5秒前
mocheer发布了新的文献求助10
5秒前
土豆晴发布了新的文献求助10
5秒前
6秒前
aabb完成签到 ,获得积分10
6秒前
6秒前
小豌豆完成签到,获得积分10
6秒前
6秒前
6秒前
大模型应助乐观的阿这采纳,获得10
6秒前
Leo_Sun发布了新的文献求助10
6秒前
深情安青应助丰富画笔采纳,获得10
6秒前
6秒前
6秒前
曹小妍完成签到,获得积分10
7秒前
yanglinxia完成签到,获得积分20
7秒前
小蘑菇应助ren采纳,获得10
8秒前
小鱼完成签到,获得积分10
8秒前
所所应助大佛老爷采纳,获得10
8秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
8秒前
风清扬应助zzzz采纳,获得10
8秒前
同花顺完成签到,获得积分10
9秒前
9秒前
Xiaowen发布了新的文献求助10
10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
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718762
求助须知:如何正确求助?哪些是违规求助? 5254117
关于积分的说明 15287024
捐赠科研通 4868786
什么是DOI,文献DOI怎么找? 2614471
邀请新用户注册赠送积分活动 1564338
关于科研通互助平台的介绍 1521791