Fast 3D Super-Resolution Ultrasound Imaging Through Acoustic Activation and Deactivation of Nanodroplets
Fast 3D Super-Resolution Ultrasound Imaging Through Acoustic Activation and Deactivation of Nanodroplets
批准号:
EP/T008970/1
负责人:
Mengxing Tang
金额:
$122.8万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The microvasculature plays a crucial role in the functioning of healthy tissue throughout the body. Tumours and many other diseases, such as diabetes and coronary heart disease, cause changes in the distribution of microvessels and/or the flow within them. Detection of subtle structural and functional changes in these vessels would thus potentially enable early detection of cancer and other diseases and increase the chances of successful treatment and survival rates. Furthermore, by detecting changes in the microvasculature during treatment of these diseases, doctors may be able to identify at an early stage patient-specific treatment strategies while monitoring responses (or the lack of response) to different drugs. Current clinical imaging modalities cannot adequately resolve these tiny vessels beyond depths of a few millimetres inside the tissue. Hence there is an urgent clinical need for a new imaging method that can provide high spatial and temporal resolution at relevant tissue depths.Optical super-resolution has revolutionised the field of optical florescence microscopy by combining information from multiple frames to achieve a single super-resolved image and was the subject of the 2014 Nobel Prize in Chemistry. However, such optical techniques only have a limited penetration depth (<1 mm) and are therefore not suitable for imaging humans in the clinic. We have developed ultrasound super-resolution imaging with contrast agents (microbubbles) with a resolution of several times better than existing clinical ultrasound imaging (down to tens of micrometres resolution at depths of several centimetres). However this approach currently requires long ultrasound data acquisition times (minutes) as time must be allowed for sparsely distributed flowing agents to traverse the full field of view. It is also challenging to image the vasculature in 3D using this approach due to the huge amount of data generated (up to TBs per second) that poses significant hardware challenges in transferring and processing such data. These shortcomings significantly limit the clinical translation of super-resolution ultrasound.In this project, we are proposing a new technology to enable super-resolution at imaging rates up to two orders of magnitude faster than is currently possible, thereby making it becomes suitable for clinical use. To achieve this, we will replace conventional microbubble contrast agents with new "nanodroplet" agents whose in vivo imaging signal can be switched on and off acoustically in a controlled way, removing the need to use low concentrations and wait for them to flow through the entire region of interest. Second, we will use a new transducer technology with more than ten thousand elements linked in a specific way for 3D imaging that will enable rapid data capture. We will also develop optimised and fast signal processing algorithms and codes that will enable accurate super-resolution imaging and live feedback suitable for practical use. We aim to be the first to demonstrate this fast 3D super-resolution technology in vivo.The proposed technique promises non-invasive, safe and fast microscopic assessment of vasculature in deep tissue, which could prove highly valuable to diagnosis, prediction, and intervention in a wide range of diseases.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients
经胸超分辨率超声定位显微镜观察患者心肌血管系统
DOI:
10.48550/arxiv.2303.14003
发表时间:
2023
期刊:
影响因子:
--
作者:
[Yan J]
通讯作者:
Yan J
Fast and selective super-resolution ultrasound in vivo with sono-switchable nanodroplets
使用声波可切换纳米液滴进行快速选择性体内超分辨率超声
DOI:
10.48550/arxiv.2203.04263
发表时间:
2022
期刊:
影响因子:
--
作者:
[Riemer K]
通讯作者:
Riemer K
BUbble Flow Field: a Simulation Framework for Evaluating Ultrasound Localization Microscopy Algorithms
BUbble 流场:用于评估超声定位显微算法的仿真框架
DOI:
--
发表时间:
2023
期刊:
影响因子:
--
作者:
[Marcelo Lerendegui]
通讯作者:
Marcelo Lerendegui
3D Super-Resolution Ultrasound with Adaptive Weight-Based Beamforming
具有自适应权重波束形成功能的 3D 超分辨率超声
DOI:
10.48550/arxiv.2208.12176
发表时间:
2022
期刊:
影响因子:
--
作者:
[Yan J]
通讯作者:
Yan J
DOI:
10.1097/rli.0000000000001033
发表时间:
2024-05-01
期刊:
INVESTIGATIVE RADIOLOGY
影响因子:
6.7
作者:
[Riemer,Kai, Tan,Qingyuan, Tang,Meng-Xing]
通讯作者:
Tang,Meng-Xing
共 8 条
Ultrafast contrast enhanced ultrasound for imaging and quantifying flow and tissue perfusion
-
批准号:EP/M011933/1
-
项目类别:Research Grant
-
资助金额:$48.78万
-
财政年份:2015
-
负责人:Mengxing Tang
-
依托单位:
A Novel Ultrasound Modulated Optical Tomography System
-
批准号:EP/H02316X/1
-
项目类别:Research Grant
-
资助金额:$14.74万
-
财政年份:2010
-
负责人:Mengxing Tang
-
依托单位:
Molecular Imaging Using Ultrasound and Targeted Microbubbles
-
批准号:EP/G038163/1
-
项目类别:Research Grant
-
资助金额:$70.9万
-
财政年份:2009
-
负责人:Mengxing Tang
-
依托单位:
Quantative Imaging of Microbubble Ultrasound Contrast Agent with Correction of Attenuation
-
批准号:EP/C536150/2
-
项目类别:Research Grant
-
资助金额:$0.0万
-
财政年份:2006
-
负责人:Mengxing Tang
-
依托单位:
国内基金
海外基金
登录
查看更多内容
船舶海工用粘结剂喷射3D打印金属复合材料成形技术开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:徐龙
-
依托单位:
高效换热不锈钢模具3D打印关键技术及装备开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:刘双宇
-
依托单位:
生物炭粒子电极协同3D电化学体系活化PS的调控机制及氧化降解CPs的机理
-
批准号:2026JJ50483
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:秦蕾
-
依托单位:
3D打印Fe/Mn双组分多层孔道电极电化学靶向回收浮选复合废水中Sb(V)的机理研究
-
批准号:2026JJ50213
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:侯保林
-
依托单位:
高活性肽-金属离子-骨水泥三重整合3D打印复合支架在糖尿病足创面修复中的作用机制研究
-
批准号:JCZRLH202600954
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:
-
依托单位:
面向组织工程宏/微血管化的流道/多孔耦合生物 3D 打印研究
-
批准号:ZCLZ26C1001
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:邵磊
-
依托单位:
高速喷气织机非标部件3D打印技术研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:陈雨莹
-
依托单位:
3D打印纤维再生细骨料混凝土的研制和开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:李权
-
依托单位:
轨道角动量3D动态显示技术开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:林畅
-
依托单位:
基于深度学习的多模态激光雷达与视觉传感器融合的3D目标检测算法优化研究
-
批准号:2026JJ80337
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:江建
-
依托单位: