CALOPUS - Computer Assisted LOw-cost Point-of-care UltraSound
CALOPUS - 计算机辅助低成本护理点超声
基本信息
- 批准号:EP/R013853/1
- 负责人:
- 金额:$ 129.16万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2018
- 资助国家:英国
- 起止时间:2018 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The CALOPUS project is an inter-disciplinary UK-India collaboration that aims to automate the analysis of antenatal ultrasound images to facilitate referral to the appropriate level of pregnancy care in rural settings, an important unmet need in many LMICs. Unlike in the western world, many women in India do not have an antenatal ultrasound check-up scan in the first or second trimester. Without such a check-up, health problems of the fetus and mother can go unnoticed, leading, in the worst case, to a still-birth or preterm birth. India has the highest number of still births and preterm births in the world (Lancet 2O15, 2012). Thus the ultimate clinical aim motivating this work is to reduce the burden of adverse pregnancy events and improve the health of future generations. The approach we are taking is to use a low-cost portable imaging technology, ultrasound imaging, as the basis for a novel point-of-care (POC) system that enables a healthcare worker, with limited or no knowledge of ultrasound, to refer a patient to a clinical unit or hospital. Ultrasound scanning normally requires skill to acquire images which is a barrier to use. Our idea is to combine capture of ultrasound videos with machine learning (deep learning) to automatically interpret the content of the ultrasound videos and make the recommendation to the non-expert user. This project explores how we can do this, and will look, as well, at how we can make the technological solution culturally acceptable, and usable in the intended clinical environment. In addition to the primary scientific endeavour, an important secondary objective will be capacity-building in point-of-care imaging in the India partner team and counter-mentoring of UK investigators in health (particularly in factors related to healthcare technology needs and adoption), and research and cultural issues that are at play in LMICs. This cross-dialogue will strengthen the international team and build mutual respect and complementary expertise.
CALOPUS项目是英国与印度的一个跨学科合作项目,旨在实现产前超声图像分析的自动化,以便于在农村地区转诊到适当水平的妊娠护理,这是许多中低收入国家尚未满足的重要需求。与西方世界不同,印度的许多妇女在怀孕的第一个或第二个三个月没有进行产前超声波检查扫描。如果没有这样的检查,胎儿和母亲的健康问题可能会被忽视,在最坏的情况下,导致死产或早产。印度是世界上死胎和早产人数最多的国家(《柳叶刀》2015年,2012年)。因此,推动这项工作的最终临床目标是减少不良妊娠事件的负担,改善后代的健康。我们正在采取的方法是使用低成本的便携式成像技术,超声成像,作为一种新的即时护理(POC)系统的基础,使医疗保健工作者,有限或没有超声知识,将患者转诊到临床单位或医院。超声扫描通常需要技能来获取图像,这是使用的障碍。我们的想法是将超声视频的联合收割机捕获与机器学习(深度学习)相结合,以自动解释超声视频的内容并向非专家用户进行推荐。该项目探讨了我们如何做到这一点,并将着眼于如何使技术解决方案在文化上可接受,并在预期的临床环境中使用。除了主要的科学努力外,一个重要的次要目标将是印度合作伙伴团队在床旁成像方面的能力建设,以及英国健康研究人员的反指导(特别是与医疗技术需求和采用相关的因素),以及在中低收入国家发挥作用的研究和文化问题。这种交叉对话将加强国际团队,建立相互尊重和互补的专业知识。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
- DOI:10.1609/aaai.v35i2.16192
- 发表时间:2021-05
- 期刊:
- 影响因子:0
- 作者:Qingchao Chen;Yang Liu;Samuel Albanie
- 通讯作者:Qingchao Chen;Yang Liu;Samuel Albanie
Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors
- DOI:10.1109/isbi53787.2023.10230662
- 发表时间:2023-04
- 期刊:
- 影响因子:0
- 作者:A. Gleed;D. Mishra;V. Chandramohan;Z. Fu;A. Self;S. Bhatnagar;Aris T. Papageorghiou;J. Noble
- 通讯作者:A. Gleed;D. Mishra;V. Chandramohan;Z. Fu;A. Self;S. Bhatnagar;Aris T. Papageorghiou;J. Noble
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
- DOI:10.1002/uog.22122
- 发表时间:2020-10
- 期刊:
- 影响因子:0
- 作者:Drukker L;Noble JA;Papageorghiou AT
- 通讯作者:Papageorghiou AT
EP07.16: Visibility of fetal brain structures in blind ultrasound sweeps
EP07.16:盲超声扫描中胎儿大脑结构的可见性
- DOI:10.1002/uog.26725
- 发表时间:2023
- 期刊:
- 影响因子:7.1
- 作者:Aljishi F
- 通讯作者:Aljishi F
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
医学超声、早产儿、围产期和儿科图像分析 - 第一届国际研讨会,ASMUS 2020,第五届国际研讨会,PIPPI 2020,与 MICCAI 2020 同期举行,秘鲁利马,2020 年 10 月 4-8 日,会议记录
- DOI:10.1007/978-3-030-60334-2_5
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Chen Q
- 通讯作者:Chen Q
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Alison Noble其他文献
Quantitative Measurement of Manufactured Diamond Shape
人造钻石形状的定量测量
- DOI:
10.1007/3-540-57956-7_47 - 发表时间:
1994 - 期刊:
- 影响因子:0
- 作者:
R. Hartley;Alison Noble;J. Grande;Jane Liu - 通讯作者:
Jane Liu
Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks
使用时空神经网络超声自动确定胎儿心脏周期
- DOI:
10.1109/isbi45749.2020.9098613 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Lok Hin Lee;Alison Noble - 通讯作者:
Alison Noble
Are you simulator ready? A study of maritime communication competence in the full-mission bridge simulator
- DOI:
10.1007/s13437-025-00376-7 - 发表时间:
2025-05-26 - 期刊:
- 影响因子:2.400
- 作者:
Trude Amundsen;Alison Noble - 通讯作者:
Alison Noble
Segmentation of Echocardiographic Data. Multiresolution 2D and 3D Algorithm Based on Grey Level Statistics
超声心动图数据的分割。
- DOI:
10.1007/10704282_56 - 发表时间:
1999 - 期刊:
- 影响因子:3.9
- 作者:
D. Boukerroui;O. Basset;A. Baskurt;Alison Noble - 通讯作者:
Alison Noble
Globally Optimal Registration for Describing Joint Kinematics
描述关节运动学的全局最优配准
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Rui Jia;S. Mellon;P. Monk;D. Murray;Alison Noble - 通讯作者:
Alison Noble
Alison Noble的其他文献
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{{ truncateString('Alison Noble', 18)}}的其他基金
EPSRC-NIHR HTC Partnership Award 'Plus': Medical Image Analysis Network (MedIAN)
EPSRC-NIHR HTC 合作伙伴奖“Plus”:医学图像分析网络 (MediIAN)
- 批准号:
EP/N026993/1 - 财政年份:2016
- 资助金额:
$ 129.16万 - 项目类别:
Research Grant
Automating quality assessment of B-mode ultrasound scans (AQABUS)
B 型超声扫描的自动质量评估 (AQABUS)
- 批准号:
EP/L505316/1 - 财政年份:2014
- 资助金额:
$ 129.16万 - 项目类别:
Research Grant
EPSRC-NIHR HTC Partnership Award: Medical Image Analysis Network
EPSRC-NIHR HTC 合作伙伴奖:医学图像分析网络
- 批准号:
EP/M000133/1 - 财政年份:2014
- 资助金额:
$ 129.16万 - 项目类别:
Research Grant
Centre for Doctoral Training in Healthcare Innovation
医疗保健创新博士培训中心
- 批准号:
EP/G036861/1 - 财政年份:2009
- 资助金额:
$ 129.16万 - 项目类别:
Training Grant
Quantitative 4D Echocardiography using Fusion Techniques and Spatio-temporal Analysis
使用融合技术和时空分析的定量 4D 超声心动图
- 批准号:
EP/G030693/1 - 财政年份:2009
- 资助金额:
$ 129.16万 - 项目类别:
Research Grant
Follow On: Assisted Freehand Ultrasonics - AFUSON
继续:辅助徒手超声波 - AFUSON
- 批准号:
EP/E502911/1 - 财政年份:2006
- 资助金额:
$ 129.16万 - 项目类别:
Research Grant
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