NOISE-BASED HIGH RESOLUTION ULTRASOUND IMAGING USING MICROENGINEERED SURFACES AND TRANSDUCERS
使用微工程表面和换能器进行基于噪声的高分辨率超声成像
基本信息
- 批准号:1202118
- 负责人:
- 金额:$ 35.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-05-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this research is to develop ultrasonic imaging methods using the ubiquitously available but rarely exploited broad band thermal-mechanical noise in electromechanical systems. The theoretical approach is based on Green's function retrieval from diffuse noise sources and deep sub-wavelength resolution imaging with evanescent waves on engineered propagation surfaces. Micromachined ultrasonic transducers are used to record thermal-mechanical noise and provide a tunable microscale engineered surface for evanescent waves, forming the experimental platform to achieve sub-wavelength resolution imaging. Optimal configurations for controlling evanescent wave velocity, hence the effective sub-wavelength resolution, will be investigated and implemented through microscale engineering. Effects of noise field characteristics on the wave excitation and detection, and imaging performance will be explored. Feasibility of high resolution ultrasonic imaging within the diffraction limit (F-number 0.1-0.5) will be demonstrated in the 3-10MHz range using micromachined arrays integrated with low noise electronics. The results would impact design and implementation of microsystems for bio-imaging and bio-microfluidics. This project will impact integrated low-power biomedical systems such as medical implants through imaging and monitoring mechanical properties down to the cellular level. Noise-based high-frequency ultrasonics using microscale engineered surfaces can provide a transformative tool for many imaging applications requiring high resolution at lower frequencies. The project involves science teachers from predominantly minority enrolled high schools to create modular curriculum materials in physics and provides opportunities for student site visits to university laboratories. It will also lead to modular curriculum materials for undergraduate classes, and an interdisciplinary component for graduate classes taught by the PIs.
本研究的目的是开发超声成像方法,使用无处不在,但很少开发的机电系统中的宽带热机械噪声。理论方法是基于绿色函数检索从漫射噪声源和深亚波长分辨率成像与工程传播表面上的倏逝波。微机械超声换能器用于记录热机械噪声,为倏逝波提供可调谐的微尺度工程表面,构成实现亚波长分辨率成像的实验平台。将通过微尺度工程研究和实现控制消逝波速度的最佳配置,从而获得有效的亚波长分辨率。将探讨噪声场特性对波的激发和检测以及成像性能的影响。在衍射极限(F数0.1-0.5)内的高分辨率超声成像的可行性将在3- 10 MHz范围内使用与低噪声电子集成的微机械阵列进行证明。研究结果将影响生物成像和生物微流体微系统的设计和实现。 该项目将影响集成的低功耗生物医学系统,如医疗植入物,通过成像和监测机械性能下降到细胞水平。基于噪声的高频超声使用微尺度工程表面可以为许多需要在较低频率下获得高分辨率的成像应用提供变革性工具。该项目涉及主要由少数民族入学的高中的科学教师,以编制物理模块课程材料,并为学生提供机会实地参观大学实验室。它还将导致本科课程的模块化课程材料,以及由PI教授的研究生课程的跨学科组成部分。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Levent Degertekin其他文献
Controlled two-step solid-phase crystallization for high-performance polysilicon TFT's
用于高性能多晶硅 TFT 的受控两步固相结晶
- DOI:
10.1109/55.605445 - 发表时间:
1997 - 期刊:
- 影响因子:4.9
- 作者:
Vivek Subramanian;P. Dankoski;Levent Degertekin;B. Khuri;K. C. Saraswat - 通讯作者:
K. C. Saraswat
Levent Degertekin的其他文献
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{{ truncateString('Levent Degertekin', 18)}}的其他基金
Parametric Resonance as an Electromechanical Transduction Mechanism
参数共振作为机电转换机制
- 批准号:
1936776 - 财政年份:2019
- 资助金额:
$ 35.93万 - 项目类别:
Standard Grant
I-Corps: Acousto-optical RF Field Sensor for Magnetic Resonance Imaging
I-Corps:用于磁共振成像的声光射频场传感器
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1914574 - 财政年份:2019
- 资助金额:
$ 35.93万 - 项目类别:
Standard Grant
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EAGER:声波驱动参数电谐振器
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1829821 - 财政年份:2018
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$ 35.93万 - 项目类别:
Standard Grant
I-Corps: Single Chip Intravascular and Intracardiac Ultrasound Imaging Systems
I-Corps:单芯片血管内和心内超声成像系统
- 批准号:
1517521 - 财政年份:2015
- 资助金额:
$ 35.93万 - 项目类别:
Standard Grant
Advanced atomic force microscopy using the FIRAT probe
使用 FIRAT 探针的先进原子力显微镜
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$ 35.93万 - 项目类别:
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CAREER: Quantitative Ultrasonic Atomic Force Microscopy of Thin Films and Subsurface Interfaces
职业:薄膜和地下界面的定量超声原子力显微镜
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0348582 - 财政年份:2004
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$ 35.93万 - 项目类别:
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0423403 - 财政年份:2004
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NER:声辐射压力驱动原子力显微镜,用于纳米级生物和化学过程的快速成像和并行传感
- 批准号:
0210415 - 财政年份:2002
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$ 35.93万 - 项目类别:
Standard Grant
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- 批准号:
0200331 - 财政年份:2002
- 资助金额:
$ 35.93万 - 项目类别:
Continuing Grant
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