Image quality using synthetic brain MRI: an age-stratified study

医学 图像质量 磁共振成像 矢状面 核医学 工件(错误) 放射科 流体衰减反转恢复 人工智能 图像(数学) 计算机科学
作者
Mengsha Zou,Qin Zhou,Ruocheng Li,Manshi Hu,Long Qian,Zhiyun Yang,Jing Zhao
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:64 (5): 2010-2023 被引量:2
标识
DOI:10.1177/02841851231152098
摘要

Synthetic magnetic resonance imaging (MRI) might replace the conventional MR sequences in brain evaluation to shorten scan time and obtain multiple quantitative parameters.To evaluate the image quality of multiple-delay-multiple-echo (MDME) sequence-derived synthetic brain MR images compared to conventional images by considering a multi-age sample.Image sets of conventional and synthetic MRI of 200 participants were included. On the basis of the presence of intracranial lesions, the participants were divided into a normal group and a pathological group. Two neuroradiologists compared the anonymous and unordered images. Image quality, artifacts, and diagnostic performance were analyzed.In the quantitative analysis, comparing with conventional images, MDME sequence-derived synthetic MRI demonstrated an equal/greater signal-to-noise ratio and contrast-to-noise ratio (CNR) in all age groups. Specifically, for participants aged ≤2 years, synthetic T2-fluid-attenuated inversion recovery imaging showed a significantly higher cerebellum gray/white matter CNR (P < 0.05). In the qualitative and artifact analyses, except for the superior sagittal sinus and cranial nerves, synthetic MRI showed good imaging quality (≥3 points) in all brain structures. On synthetic T1-weighted imaging, high signal intensity within the superior sagittal sinus was found in most of our participants (107/118, 90.7%). No difference was observed between synthetic and conventional MRI in diagnosing the lesions.MDME sequence-derived synthetic MRI showed similar image quality and diagnostic performance with a shorter acquisition time than conventional MRI. However, the high signal intensity within the superior sagittal sinus on synthetic T1-weighted images requires consideration.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Qianaa完成签到 ,获得积分10
1秒前
1秒前
SharonEggy完成签到,获得积分20
2秒前
无限绫完成签到 ,获得积分10
4秒前
吴坤发布了新的文献求助10
4秒前
5秒前
鳗鱼凡波发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
6秒前
王KKK发布了新的文献求助10
6秒前
华仔应助面包小狗采纳,获得10
7秒前
CipherSage应助haohao学习采纳,获得10
8秒前
英俊的铭应助善良的青烟采纳,获得10
8秒前
打打应助外向的如冰采纳,获得10
9秒前
研友_nqylan完成签到,获得积分10
10秒前
10秒前
冷艳的孤晴完成签到,获得积分10
11秒前
大气如雪完成签到 ,获得积分10
11秒前
12秒前
定西完成签到,获得积分10
13秒前
ding应助Frost采纳,获得10
14秒前
15秒前
advance完成签到,获得积分20
15秒前
藜誌发布了新的文献求助10
15秒前
16秒前
zlx发布了新的文献求助10
17秒前
满意的蜗牛完成签到 ,获得积分10
17秒前
科研通AI2S应助zwenng采纳,获得10
17秒前
ljw发布了新的文献求助10
17秒前
MR_芝欧完成签到,获得积分10
18秒前
18秒前
好运发布了新的文献求助10
19秒前
20秒前
量子星尘发布了新的文献求助10
20秒前
善学以致用应助advance采纳,获得10
20秒前
21秒前
老迟到的友容完成签到 ,获得积分10
22秒前
所所应助恣睢采纳,获得30
22秒前
王钧正发布了新的文献求助10
22秒前
飘逸抽屉发布了新的文献求助10
24秒前
25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
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
The Pedagogical Leadership in the Early Years (PLEY) Quality Rating Scale 410
Modern Britain, 1750 to the Present (第2版) 300
Writing to the Rhythm of Labor Cultural Politics of the Chinese Revolution, 1942–1976 300
Lightning Wires: The Telegraph and China's Technological Modernization, 1860-1890 250
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4601983
求助须知:如何正确求助?哪些是违规求助? 4011438
关于积分的说明 12419208
捐赠科研通 3691523
什么是DOI,文献DOI怎么找? 2035123
邀请新用户注册赠送积分活动 1068423
科研通“疑难数据库(出版商)”最低求助积分说明 952869