Three-dimensional magneto-acousto-electrical tomography (3D MAET) with single-element ultrasound transducer and coded excitation: A phantom validation study

成像体模 传感器 激发 声学 信号(编程语言) 超声波 断层摄影术 光学(聚焦) 信噪比(成像) 计算机科学 材料科学 物理 光学 量子力学 程序设计语言
作者
T. Sun,Linguo Yu,Dingqian Deng,Mengmeng Yu,Yi Chen,Chunqi Chang,Mian Chen,Siping Chen,Xin Chen,Haoming Lin
出处
期刊:Neurocomputing [Elsevier]
卷期号:536: 80-89 被引量:5
标识
DOI:10.1016/j.neucom.2023.02.055
摘要

Magneto-acousto-electrical tomography (MAET) is a hybrid imaging modality combining the merits of high contrast and high resolution. Current studies in MAET mainly focus on two-dimensional (2D) imaging. In practice, an object's conductivity is usually three-dimensional inhomogeneous. Therefore, three-dimensional MAET (3D MAET) may provide a more comprehensive understanding of the conductivity distribution of an object. The basic idea of realizing 3D MAET is to move the ultrasound transducer mechanically to accomplish the 3D scanning. However, this mechanical scanning procedure is time-consuming. Moreover, due to the weak MAE signal, traditional MAET based on single-pulse excitation requires thousands of signal averaging operations to improve the signal-to-noise ratio (SNR) of imaging, which may further increase the time burden of 3D MAET. This study aims to investigate the feasibility of 3D MAET based on a 1D ultrasound transducer and coded-excitation technology. A 13-bit Barker code was used as the excitation code, and two 3D biological phantoms were used to validate the imaging accuracy. The experimental results show that the imaging results of this method can reflect the change of conductivity in 3D space. The average relative errors of the measured slope of the conductivity distribution in Phantom 1 and Phantom 2 are 6.72% and 2.02%, respectively. Moreover, compared with the short-pulse excitation method, the Barker-coded excitation method can obtain comparative imaging SNR with about a quarter average, thus demonstrating the feasibility of 3D MAET with a single-element ultrasound transducer and coded excitation.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
梁朝伟应助乔治采纳,获得10
1秒前
科研通AI2S应助mbf采纳,获得10
2秒前
科研66666完成签到 ,获得积分10
3秒前
5秒前
吴昕奕发布了新的文献求助10
5秒前
丘比特应助冰韵心采纳,获得10
6秒前
高大的易蓉完成签到,获得积分10
9秒前
10秒前
Dream完成签到,获得积分10
11秒前
qujunming完成签到 ,获得积分10
12秒前
情怀应助yourkit采纳,获得10
12秒前
15秒前
所所应助Dream采纳,获得10
17秒前
Eber完成签到,获得积分10
18秒前
Lucas应助ninghan采纳,获得10
19秒前
黄道婆发布了新的文献求助10
19秒前
Tyy完成签到,获得积分20
21秒前
21秒前
酷波er应助科研通管家采纳,获得10
22秒前
爆米花应助科研通管家采纳,获得100
22秒前
天天快乐应助科研通管家采纳,获得10
23秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
23秒前
丘比特应助科研通管家采纳,获得10
23秒前
英姑应助科研通管家采纳,获得30
23秒前
23秒前
ccm应助科研通管家采纳,获得10
23秒前
23秒前
23秒前
24秒前
24秒前
Tony完成签到,获得积分10
24秒前
Tony发布了新的文献求助10
27秒前
28秒前
soapffz完成签到,获得积分10
28秒前
Owen应助逆时针采纳,获得10
28秒前
冰韵心发布了新的文献求助10
28秒前
yichun发布了新的文献求助30
29秒前
快乐小子发布了新的文献求助10
30秒前
快乐滑板应助ZXR采纳,获得10
32秒前
高分求助中
Solution Manual for Strategic Compensation A Human Resource Management Approach 1200
Natural History of Mantodea 螳螂的自然史 1000
Glucuronolactone Market Outlook Report: Industry Size, Competition, Trends and Growth Opportunities by Region, YoY Forecasts from 2024 to 2031 800
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
Zeitschrift für Orient-Archäologie 500
Smith-Purcell Radiation 500
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3343311
求助须知:如何正确求助?哪些是违规求助? 2970371
关于积分的说明 8643748
捐赠科研通 2650451
什么是DOI,文献DOI怎么找? 1451275
科研通“疑难数据库(出版商)”最低求助积分说明 672118
邀请新用户注册赠送积分活动 661473