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。
实时播报
1秒前
科研通AI6应助zheweiwang采纳,获得10
3秒前
坦率紫菜完成签到,获得积分10
3秒前
doctorduanmu发布了新的文献求助10
4秒前
5秒前
123完成签到,获得积分10
6秒前
洒脱发布了新的文献求助10
10秒前
Damtree发布了新的文献求助10
10秒前
动人的代芹完成签到,获得积分10
11秒前
科研通AI6应助博珺辰采纳,获得10
11秒前
SciGPT应助零距离采纳,获得10
11秒前
量子星尘发布了新的文献求助10
12秒前
12秒前
科研通AI6应助yr采纳,获得30
13秒前
柔弱的芷珍完成签到,获得积分10
14秒前
赘婿应助catear采纳,获得10
14秒前
hbhsjk完成签到,获得积分10
20秒前
21秒前
武雨寒发布了新的文献求助10
21秒前
数学情缘完成签到,获得积分10
21秒前
Emi完成签到 ,获得积分10
21秒前
SciGPT应助山水之乐采纳,获得10
22秒前
在水一方应助mont采纳,获得10
22秒前
22秒前
Criminology34应助左西采纳,获得10
23秒前
23秒前
漫天飞雪_寒江孤影完成签到 ,获得积分10
24秒前
happyday发布了新的文献求助10
27秒前
28秒前
芃芃完成签到 ,获得积分10
30秒前
31秒前
诺诺完成签到 ,获得积分10
34秒前
35秒前
aaaa完成签到 ,获得积分10
36秒前
mont完成签到,获得积分10
37秒前
37秒前
123456789完成签到 ,获得积分10
37秒前
37秒前
40秒前
杨震发布了新的文献求助10
40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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Alloy Phase Diagrams 1000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 871
Synthesis and properties of compounds of the type A (III) B2 (VI) X4 (VI), A (III) B4 (V) X7 (VI), and A3 (III) B4 (V) X9 (VI) 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 5422108
求助须知:如何正确求助?哪些是违规求助? 4537012
关于积分的说明 14155721
捐赠科研通 4453595
什么是DOI,文献DOI怎么找? 2442968
邀请新用户注册赠送积分活动 1434374
关于科研通互助平台的介绍 1411439