Low-cost device for breast cancer screening: A dry setup IR-UWB proposal

软件可移植性 乳腺癌 计算机科学 微波食品加热 成像体模 实施 电子工程 癌症 医学 电信 工程类 放射科 内科学 程序设计语言
作者
Alexandre de Jesus Aragão,Dionísio Carvalho,Bruno Sanches,Wilhelmus Van Noije
出处
期刊:Biomedical Signal Processing and Control [Elsevier]
卷期号:79: 104078-104078 被引量:6
标识
DOI:10.1016/j.bspc.2022.104078
摘要

This paper presents a dry-setup microwave imaging apparatus proposal aiming at breast cancer detection, seeking low-cost and portability. In 2020, breast cancer overtook lung cancer as the most commonly diagnosed worldwide, and its impact on low-income countries has encouraged the development of non-invasive and affordable screening equipment; its use could reduce mortality rates by scaling up early detection reach. A US$ 150.00 microwave transceiver platform with embedded antennas was employed to maintain costs down, while a dry-coupling silicone rubber bra was used to keep the device portable. Firstly, a front-end power loss study and simulations by utilizing a finite integration technique software were carried out to analyse the proposed hardware power ability to detect tumours depth in the breast. Secondly, microwave signals were transmitted, illuminating a developed phantom that mimics the dielectric properties of breast tissues. The resulting images were generated by applying collected backscattered signals to a delay and sum algorithm whereby improvements were implemented aiming at enhancing tumour contrast. Simulated and experimental results employing the system proposed and the phantom presented signal to clutter and signal to mean ratio above 6.0 dB and 22.0 dB, respectively, and average tumour location precision of 0.5 cm. The results demonstrated the proposed apparatus potential to prospect a low-cost and portable system for first approach breast cancer screening. Although more investigations and additional implementations are still necessary for conducting clinical trials, the proposals presented have paved the way to a resource-limited screening equipment development in the future.
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
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
刚刚
顾矜应助ttssooe采纳,获得10
刚刚
1秒前
共享精神应助罗mian采纳,获得10
1秒前
亭语完成签到 ,获得积分0
2秒前
重要清涟完成签到,获得积分10
2秒前
3秒前
3秒前
3秒前
BaiX发布了新的文献求助10
3秒前
3秒前
路旁小白完成签到,获得积分10
3秒前
枫桥完成签到 ,获得积分10
3秒前
彭于晏应助zhonghbush采纳,获得10
4秒前
秦玉蓉完成签到,获得积分10
4秒前
小文cremen完成签到 ,获得积分10
5秒前
Owen应助千里采纳,获得10
6秒前
o10发布了新的文献求助10
6秒前
MADKAI发布了新的文献求助10
6秒前
紧张的梦岚应助开放雁丝采纳,获得20
6秒前
淇淇怪怪发布了新的文献求助10
7秒前
深情安青应助呼叫554采纳,获得30
7秒前
zhuiyu完成签到,获得积分10
7秒前
鲜艳的手链完成签到,获得积分10
7秒前
知性的以筠完成签到,获得积分10
8秒前
leiyang49完成签到,获得积分10
8秒前
8秒前
李小伟完成签到,获得积分10
9秒前
9秒前
铁匠发布了新的文献求助10
10秒前
Jupiter完成签到,获得积分10
10秒前
zsqqqqq完成签到,获得积分10
12秒前
MADKAI发布了新的文献求助10
12秒前
二二二发布了新的文献求助10
12秒前
完美世界应助nihil采纳,获得10
13秒前
13秒前
cd发布了新的文献求助10
13秒前
过时的丹秋完成签到 ,获得积分10
14秒前
14秒前
成就缘分完成签到,获得积分10
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527304
求助须知:如何正确求助?哪些是违规求助? 3107454
关于积分的说明 9285518
捐赠科研通 2805269
什么是DOI,文献DOI怎么找? 1539827
邀请新用户注册赠送积分活动 716708
科研通“疑难数据库(出版商)”最低求助积分说明 709672