Development of a High-frequency Mini-convex Array Probe for Intraluminal Ultrasonic Imaging Applications

超声波传感器 成像体模 传感器 材料科学 中心频率 超声波 生物医学工程 声学 光学 物理 工程类 带通滤波器
作者
Weicen Chen,Boquan Wang,Chen Jian-zhong,Chenzhi You,Jing Wang,Dawei Wu
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:24 (11): 17560-17569
标识
DOI:10.1109/jsen.2024.3392915
摘要

Intraluminal ultrasonic (ILUS) technology, an advanced interventional imaging technique, employs a miniaturized high-frequency ultrasound transducer mounted at the tip of a thin catheter to visualize anatomical structures within the human body. This allows for the acquisition of high-quality images of lesions at close proximity. However, existing ILUS probes predominantly offer specialized visualization in a single direction of the ultrasound catheter due to space constraints within the catheter, posing challenges to the fabrication process. In this study, an ILUS high-frequency mini-convex array probe was developed which featured 64 array elements arranged in curvilinear configuration, providing a 90-degree imaging field of view. The mini-convex array was housed within a stainless-steel tube with an outer diameter of 4 mm, positioned such that its central imaging axis was oriented at a 45-degree angle relative to the axial direction of the tube. This configuration enabled observation of objects ahead of the catheter, even though not entirely covered, and offering detailed features of the interior configuration on its side. This probe exhibited an average center frequency, -6 dB bandwidth, and sensitivity of approximately 17.85 MHz, 61.95%, and 32.64 mV, respectively. Imaging of a wire phantom yielded axial and lateral resolutions at 5 mm depth of approximately 0.11 mm and 0.25 mm, respectively. Subsequently, the actual imaging capability was assessed through ex vivo imaging of the artery and esophagus of a swine, demonstrating the suitability of the high-frequency mini-convex array probe for intraluminal ultrasonic imaging applications.

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
似宁完成签到,获得积分10
刚刚
1秒前
2秒前
3秒前
3秒前
丰富的谷菱完成签到,获得积分10
4秒前
伶俐妙海应助海蓝博采纳,获得20
4秒前
FashionBoy应助徐明宏采纳,获得10
4秒前
loong完成签到,获得积分10
6秒前
学习强国meme完成签到,获得积分10
6秒前
6秒前
忧心的捕发布了新的文献求助10
7秒前
ztt完成签到,获得积分10
7秒前
香蕉觅云应助wwaanngg采纳,获得10
8秒前
ZYC007发布了新的文献求助20
9秒前
9秒前
aixuexi*完成签到,获得积分10
9秒前
9秒前
123456完成签到,获得积分10
10秒前
思源应助科研通管家采纳,获得10
11秒前
11秒前
ztt发布了新的文献求助10
11秒前
伶俐妙海应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
11秒前
FashionBoy应助科研通管家采纳,获得30
11秒前
SciGPT应助Luos采纳,获得10
11秒前
伶俐妙海应助科研通管家采纳,获得10
11秒前
Axs完成签到,获得积分10
11秒前
12秒前
超级的抽屉完成签到,获得积分10
13秒前
dhhdnd发布了新的文献求助10
14秒前
15秒前
金子悠月完成签到,获得积分10
16秒前
好人一生平安完成签到,获得积分10
16秒前
兑润泽完成签到,获得积分10
17秒前
科研通AI6.4应助lcubiozy采纳,获得10
17秒前
18秒前
19秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7249130
求助须知:如何正确求助?哪些是违规求助? 8871880
关于积分的说明 18720417
捐赠科研通 6928407
什么是DOI,文献DOI怎么找? 3198645
关于科研通互助平台的介绍 2373978
邀请新用户注册赠送积分活动 2173275