亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Impact of Deep Learning Reconstruction Combined With a Sharpening Filter on Single-Shot Fast Spin-Echo T2-Weighted Magnetic Resonance Imaging of the Uterus

锐化 医学 快速自旋回波 单发 磁共振成像 自旋回波 滤波器(信号处理) Echo(通信协议) T2加权 人工智能 核磁共振 计算机科学 放射科 计算机视觉 光学 物理 计算机网络
作者
Takahiro Tsuboyama,Hiromitsu Onishi,Atsushi Nakamoto,Kazuya Ogawa,Yoshihiro Koyama,Hiroyuki Tarewaki,Noriyuki Tomiyama
出处
期刊:Investigative Radiology [Ovid Technologies (Wolters Kluwer)]
卷期号:57 (6): 379-386 被引量:15
标识
DOI:10.1097/rli.0000000000000847
摘要

This study aimed to evaluate the effects of deep learning (DL) reconstruction and a postprocessing sharpening filter on the image quality of single-shot fast spin-echo (SSFSE) T2-weighted imaging (T2WI) of the uterus.Fifty consecutive patients who underwent pelvic magnetic resonance imaging were included. Parasagittal T2WI with a slice thickness of 4 mm was obtained with the periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) and SSFSE sequences (mean scan time, 204 and 22 seconds, respectively). The following 3 types of SSFSE images were reconstructed, and the signal-to-noise ratio (SNR) and tissue contrast were assessed: conventional reconstruction (SSFSE-C), DL reconstruction (SSFSE-DL), and DL with a sharpening filter (SSFSE-DLF). Three radiologists independently assessed image quality, and area under the visual grading characteristics curve (AUCVGC) analysis was performed to compare the SSFSE and PROPELLER images.Compared with that of the PROPELLER images, the SNR of the SSFSE-C, SSFSE-DL, and SSFSE-DLF images was significantly lower (P < 0.05), significantly higher (P < 0.05), and equivalent, respectively. The SSFSE-DL images exhibited significantly lower contrast between the junctional zone and myometrium than those obtained with the other sequences (P < 0.05). In qualitative comparisons with the PROPELLER images, all 3 SSFSE sequences, SSFSE-DL, and SSFSE-DLF demonstrated significantly higher scores for artifacts, noise, and sharpness, respectively (P < 0.01). The overall image quality of SSFSE-C (mean AUCVGC, 0.03; P < 0.01) and SSFSE-DL (mean AUCVGC, 0.23; P < 0.01) was rated as significantly inferior, whereas that of SSFSE-DLF (mean AUCVGC, 0.69) was equivalent or significantly higher (P < 0.01).Using a combination of DL and a sharpening filter markedly increases the image quality of SSFSE of the uterus to the level of the PROPELLER sequence.
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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
海昌完成签到,获得积分10
6秒前
7秒前
12秒前
15秒前
研友_8Y26PL完成签到 ,获得积分10
17秒前
xxll完成签到,获得积分10
21秒前
merrylake完成签到 ,获得积分10
42秒前
44秒前
47秒前
失眠呆呆鱼完成签到 ,获得积分10
52秒前
nojego完成签到,获得积分10
53秒前
乐乐应助喜悦的土豆采纳,获得10
54秒前
jyy发布了新的文献求助10
1分钟前
华仔应助KSung采纳,获得10
1分钟前
1分钟前
1分钟前
Yuang完成签到 ,获得积分10
1分钟前
1分钟前
徐垚发布了新的文献求助10
1分钟前
KSung发布了新的文献求助10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
bkagyin应助光轮2000采纳,获得10
1分钟前
兮兮兮兮兮兮完成签到,获得积分10
1分钟前
FashionBoy应助KSung采纳,获得10
2分钟前
2分钟前
天天快乐应助ceeray23采纳,获得20
2分钟前
池雨发布了新的文献求助10
2分钟前
光轮2000发布了新的文献求助10
2分钟前
2分钟前
new1完成签到,获得积分10
2分钟前
KSung发布了新的文献求助10
2分钟前
今后应助KSung采纳,获得10
3分钟前
3分钟前
KSung发布了新的文献求助10
3分钟前
3分钟前
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
Mentoring for Wellbeing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1061
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
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 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5498381
求助须知:如何正确求助?哪些是违规求助? 4595607
关于积分的说明 14449515
捐赠科研通 4528426
什么是DOI,文献DOI怎么找? 2481496
邀请新用户注册赠送积分活动 1465648
关于科研通互助平台的介绍 1438361