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
仙贝完成签到,获得积分10
刚刚
缓慢的涵瑶应助DWRH采纳,获得10
1秒前
英俊的铭应助DWRH采纳,获得10
1秒前
吗喽发布了新的文献求助10
3秒前
一一完成签到 ,获得积分10
3秒前
xyzasu完成签到,获得积分10
5秒前
6秒前
希望天下0贩的0应助yoo采纳,获得30
6秒前
melisa发布了新的文献求助10
9秒前
在水一方应助Tin采纳,获得10
9秒前
moodys发布了新的文献求助10
9秒前
云辞忧完成签到,获得积分10
9秒前
复杂的兔子完成签到,获得积分10
10秒前
10秒前
丘比特应助egnaro采纳,获得10
10秒前
11秒前
噗噗完成签到 ,获得积分10
12秒前
完美世界应助白芷采纳,获得10
13秒前
友好的颦完成签到,获得积分20
13秒前
Cyber_relic发布了新的文献求助10
15秒前
赘婿应助初生西红柿采纳,获得10
15秒前
16秒前
深情安青应助科研通管家采纳,获得10
16秒前
Rondab应助科研通管家采纳,获得30
16秒前
dong应助科研通管家采纳,获得10
16秒前
科研通AI2S应助科研通管家采纳,获得10
17秒前
NexusExplorer应助科研通管家采纳,获得10
17秒前
研友_VZG7GZ应助科研通管家采纳,获得10
17秒前
华仔应助科研通管家采纳,获得10
17秒前
17秒前
小二郎应助科研通管家采纳,获得10
17秒前
17秒前
香蕉觅云应助科研通管家采纳,获得10
17秒前
顾矜应助科研通管家采纳,获得10
17秒前
17秒前
18秒前
Cyber_relic完成签到,获得积分10
20秒前
liuliu驳回了dong应助
21秒前
22秒前
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4010435
求助须知:如何正确求助?哪些是违规求助? 3550258
关于积分的说明 11305330
捐赠科研通 3284688
什么是DOI,文献DOI怎么找? 1810836
邀请新用户注册赠送积分活动 886556
科研通“疑难数据库(出版商)”最低求助积分说明 811470