Design of a Folded, Double-Tuned Loop Coil for ¹H/X-Nuclei MRI Applications

电磁线圈 质子 拓扑(电路) 物理 符号 信号(编程语言) 核磁共振 算法 计算机科学 数学 组合数学 量子力学 程序设计语言 算术
作者
Suk‐Min Hong,Chang‐Hoon Choi,N. Jon Shah,Jörg Felder
出处
期刊:IEEE Transactions on Medical Imaging [Institute of Electrical and Electronics Engineers]
卷期号:42 (5): 1424-1430
标识
DOI:10.1109/tmi.2022.3228305
摘要

MR measurement using a combination of X-nuclei and proton MRI is of great interest as the information provided by the two nuclei is highly complementary, with the X-nuclei signal giving metabolic data relating to potential biomarkers and the proton signal affording anatomical details. Due to the relatively weak signal obtained from X-nuclei, combining an X-nuclei coil with a proton coil is also advantageous for $\text{B}_{{0}}$ shimming and scout images. One approach to building a double-resonant coil is to modify the coil geometry. Here, to achieve double-resonance, a $2\times $ 1 ladder network was designed and tuned at both proton and X-nuclei frequencies successfully. Due to coupling between closed wires, the double-tuned coil generates a shifted transmit efficiency pattern compared to that of the single-tuned loop at the 7T MRI proton frequency. To compensate for the shifted pattern, one part of the $2\times $ 1 ladder network was folded, and the tuning and performance of the folded double-tuned coil were evaluated in simulations and MR measurements. The proposed structure was further evaluated with overlapped decoupling in a receive-only array. The results show that our proposed folded double-tuned coil moderated the shifted pattern of a straight double-tuned loop coil and provided minimum losses at both proton and X-nuclei frequencies. The proposed folded double-tuned loop coil has also been further extended to a receive-only array.

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
buno应助张益发采纳,获得10
刚刚
1秒前
LQQ发布了新的文献求助10
1秒前
轻歌水越发布了新的文献求助10
1秒前
1秒前
Owen应助怕孤独的迎梦采纳,获得10
1秒前
霖尤发布了新的文献求助20
2秒前
2秒前
遇见完成签到,获得积分20
2秒前
尼古拉斯发布了新的文献求助10
3秒前
3秒前
在水一方应助HCT采纳,获得10
4秒前
hhl完成签到,获得积分10
4秒前
4秒前
Eukarya完成签到,获得积分10
4秒前
勿忘9451发布了新的文献求助10
5秒前
量子星尘发布了新的文献求助10
5秒前
5秒前
zzz完成签到,获得积分10
6秒前
清脆苑博发布了新的文献求助10
6秒前
xuxuux完成签到,获得积分10
6秒前
7秒前
cc发布了新的文献求助10
7秒前
7秒前
ceeray23应助薄荷喵采纳,获得10
7秒前
在水一方应助小宇采纳,获得10
8秒前
4149发布了新的文献求助10
8秒前
8秒前
9秒前
无极微光应助123456采纳,获得20
10秒前
夕寸发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
英姑应助七点半采纳,获得10
11秒前
LYP发布了新的文献求助10
11秒前
11秒前
充电宝应助星星采纳,获得10
11秒前
刘海婷完成签到,获得积分10
11秒前
12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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
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 5608407
求助须知:如何正确求助?哪些是违规求助? 4693040
关于积分的说明 14876313
捐赠科研通 4717445
什么是DOI,文献DOI怎么找? 2544206
邀请新用户注册赠送积分活动 1509230
关于科研通互助平台的介绍 1472836