SHF: Medium: Collaborative Research: Advanced Architectures for Hand-held 3D Ultrasound
SHF:媒介:协作研究:手持式 3D 超声的先进架构
基本信息
- 批准号:1406810
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-06-01 至 2019-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Much as every medical professional listens beneath the skin with a stethoscope today, we foresee a time when hand-held medical imaging will become as ubiquitous; ?peering under the skin? using a hand-held imaging device. Hand-held imaging is not only a matter of convenience; moving the imaging device to the patient (rather than a critical patient to an imaging suite) has been shown to improve clinical outcomes. Moreover, the portability of hand-held systems can make advanced imaging available to traditionally underserved populations in the rural and developing world. Today, hand-held imaging is possible with compact, battery-operated ultrasound devices. However, existing hand-held ultrasound systems produce a low-resolution two-dimensional view within the patient, and fall far short of the image quality possible in state-of-the-art non-portable ultrasound systems. These larger systems can produce real-time 3D ultrasound images, drastically improving system ease of use, and have already been demonstrated to improve diagnostic efficiency. Moreover, direct 3D image acquisition enables new diagnostic capabilities that are difficult or impossible to accomplish with 2D, such as measuring volumetric blood flow. However, forming 3D ultrasound images requires over 5000 times more computing horsepower than comparable 2D imaging. Because it is in close contact with human skin, an ultrasound scan head must operate within a tight power budget (similar to that of a cell phone) to maintain safe temperatures. Developing a 3D ultrasound imaging system within this tight power budget requires innovation both in signal processing and computer architecture techniques.This project will develop a new hardware architecture for 3D hand-held ultrasound that leverages co-design of hardware and beamforming algorithms, three-dimensional die stacking, massive parallelism, and streaming data flow, to enable high-resolution 3D ultrasound imaging in a hand-held device. The project focuses on three medical ultrasound applications areas: (i) image quality enhancements for general imaging applications, such as abdominal imaging; (ii) advanced 3D motion tracking; and (iii) high-frame-rate 3D flow tracking for cardiac applications. The proposed research program focuses on hardware acceleration for specific, novel applications of diagnostic ultrasound targeting heart disease and Chronic Obstructive Pulmonary Disease, respectively the 1st and 3rd leading causes of death in the United States. Project innovations will be demonstrated and evaluated using an FPGA prototype to reconstruct images of physical phantoms captured with existing ultrasound probes.
就像今天每个医学专业人员都在用听诊器在皮肤下面听一样,我们预见到有一天手持医学成像将变得同样无处不在;?在皮肤下窥视?使用手持成像设备。手持成像不仅是一个方便的问题;将成像设备转移到患者(而不是将危重患者转移到成像套件)已被证明可以改善临床结果。此外,手持系统的便携性可以为农村和发展中国家传统上服务不足的人群提供先进的成像服务。如今,通过紧凑型电池供电的超声波设备,手持成像成为可能。然而,现有的手持式超声系统在患者体内产生低分辨率的二维图像,远远达不到最先进的非便携式超声系统所能提供的图像质量。这些更大的系统可以产生实时的3D超声图像,极大地提高了系统的易用性,并已被证明可以提高诊断效率。此外,直接3D图像采集能够实现2D难以或不可能实现的新诊断功能,例如测量体积血流量。然而,形成3D超声图像所需的计算能力是同类2D成像的5000多倍。因为超声波扫描头与人体皮肤密切接触,所以它必须在严格的功率预算内运行(类似于手机),以保持安全的温度。在如此紧张的功率预算下开发3D超声成像系统需要在信号处理和计算机架构技术方面的创新。该项目将开发一种新的手持3D超声硬件架构,利用硬件和波束形成算法、三维芯片堆叠、海量并行和数据流的共同设计,在手持设备中实现高分辨率3D超声成像。该项目专注于三个医学超声应用领域:(I)用于腹部成像等一般成像应用的图像质量增强;(Ii)先进的3D运动跟踪;以及(Iii)用于心脏应用的高帧速率3D血流跟踪。拟议的研究计划侧重于针对心脏病和慢性阻塞性肺疾病的特定、新的诊断超声应用的硬件加速,心脏病和慢性阻塞性肺疾病分别是美国第一和第三大主要死亡原因。项目创新将使用一个用现有超声探头捕获的物理模型重建图像的现场可编程门阵列原型进行演示和评估。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Chaitali Chakrabarti其他文献
Quality-Aware Techniques for Reducing Power of JPEG Codecs
- DOI:
10.1007/s11265-012-0667-5 - 发表时间:
2012-03-03 - 期刊:
- 影响因子:1.800
- 作者:
Yunus Emre;Chaitali Chakrabarti - 通讯作者:
Chaitali Chakrabarti
Multi-Module Multi-Port Memory Design for Low Power Embedded Systems
- DOI:
10.1007/s10617-005-1195-3 - 发表时间:
2005-07-15 - 期刊:
- 影响因子:0.900
- 作者:
Wen-Tsong Shiue;Chaitali Chakrabarti - 通讯作者:
Chaitali Chakrabarti
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing
利用 2.5D/3D 异构集成进行 AI 计算
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Zhenyu Wang;Jingbo Sun;A. Goksoy;Sumit K. Mandal;Yaotian Liu;Jae;Chaitali Chakrabarti;U. Ogras;Vidya Chhabria;Jeff Zhang;Yu Cao - 通讯作者:
Yu Cao
Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs
Cyclebite:从非结构化计算程序中提取任务图
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:3.7
- 作者:
Benjamin R. Willis;Aviral Shrivastava;Joshua Mack;Shail Dave;Chaitali Chakrabarti;J. Brunhaver - 通讯作者:
J. Brunhaver
Memory Design and Exploration for Low Power, Embedded Systems
低功耗嵌入式系统的存储器设计和探索
- DOI:
10.1109/sips.1999.822333 - 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Wen;Chaitali Chakrabarti - 通讯作者:
Chaitali Chakrabarti
Chaitali Chakrabarti的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Chaitali Chakrabarti', 18)}}的其他基金
CSR: Small: Heterogeneous Memory Design: Exploiting Device Diversity for Superior System Performance
CSR:小型:异构内存设计:利用设备多样性实现卓越的系统性能
- 批准号:
1218183 - 财政年份:2012
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CSR:Large:Collaborative Research:Reclaiming Moore's Law through Ultra Energy Efficient Computing
CSR:大型:合作研究:通过超节能计算恢复摩尔定律
- 批准号:
0910699 - 财政年份:2009
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CSR--EHS: Collaborative Research: Hardware/Software Co-Exploration of Scalable Software Defined Radio Platforms
CSR--EHS:协作研究:可扩展软件定义无线电平台的硬件/软件共同探索
- 批准号:
0615135 - 财政年份:2006
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
CSR-EHS: Analytical Techniques for Global Energy Minimization of a System of Interacting Components
CSR-EHS:相互作用组件系统全局能量最小化的分析技术
- 批准号:
0509540 - 财政年份:2005
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
Collaborative Research: ITR: Mobile Supercomputing
合作研究:ITR:移动超级计算
- 批准号:
0325761 - 财政年份:2003
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
RIA: VLSI Architectures and Algorithms for Motion Estimation Using Hough Transform
RIA:使用霍夫变换进行运动估计的 VLSI 架构和算法
- 批准号:
9309504 - 财政年份:1993
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
相似海外基金
Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
- 批准号:
2403134 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling Graphics Processing Unit Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的图形处理单元性能仿真
- 批准号:
2402804 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统
- 批准号:
2403408 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code
合作研究:SHF:媒介:实现源代码神经语言模型的可理解性和可解释性
- 批准号:
2423813 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
- 批准号:
2402806 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
- 批准号:
2403135 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统
- 批准号:
2403409 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
- 批准号:
2402805 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: High-Performance, Verified Accelerator Programming
合作研究:SHF:中:高性能、经过验证的加速器编程
- 批准号:
2313024 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Verifying Deep Neural Networks with Spintronic Probabilistic Computers
合作研究:SHF:中:使用自旋电子概率计算机验证深度神经网络
- 批准号:
2311295 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant