Distributed Intelligent Ultrasound Imaging System for Secure in-community Diagnostics (SecureUltrasound)

用于安全社区诊断的分布式智能超声成像系统 (SecureUltrasound)

• 批准号: EP/R013950/1
• 负责人: John Ahmet Erkoyuncu
• 金额: $ 123.69万
• 依托单位: CRANFIELD UNIVERSITY
• 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: https://gtr.ukri.org/projects?ref=EP%2FR013950%2F1
• 关键词: Distributed; Intelligent; Ultrasound; Imaging; System

The proposed research is going to develop low cost, secure, point of care ultrasound imaging for prenatal care for India. The availability of skilled technician or doctor that can conduct ultrasound scanning for pregnant mothers in remote areas is a major challenge in India. Usage of diagnostics ultrasound in India has also been controversial because of its extensive misuse for sex-selective abortions. Indian government introduced legislation back in 1994 to ban the disclosure of foetus gender through the PC-PNDT (Pre-Conception and Prenatal Diagnostic Techniques) Act and continuously tightened regulation to limit such misuse, these efforts have had limited or no effect on the ground. The nature and scale of the problem is unique to India. A secure ultrasound scanning system with guided image capture and a remote diagnostic service, that can work in rural areas in India, is essential to significantly improve the prenatal care, health assessment and wellbeing for the baby and the mother. The Indian challenge is also valid in other Low and Middle Income Countries (LMICs) on the OECD DAC list of ODA recipients, such as African states.The proposed research builds on state of the art freehand 3D ultrasound technology, care pathway modelling and design, cloud based framework for ultrasound image analysis, servitization of the healthcare provision and augmented reality based digital medical assistant for prenatal scanning. This research will build on the existing research and investigate new technology development to address the 'skills shortage' and 'selective abortion' challenges in India during prenatal care. The research will bring the best universities and research institutes in India to work directly with Cranfield University to solve this social challenge using latest technologies. This research will build capability and capacity in less-skilled ultrasound scanning for prenatal care with no visual feedback during scanning in India. The research will start with a two weeks long stakeholder interaction in India and intensive literature review. The interaction will involve direct prenatal care observation in unstructured rural areas, rural healthcare centres, semi-urban municipality areas, urban deprived areas and modern hospitals as per the ethical guidelines of India. A shorter interaction will take place with three surgeries and three hospitals in the UK. Engaging with the end user to better understand their expectations and requirements will be a major focus of this part of the research. The requirements will be the basis for the ultrasound scanning system development, starting with a concept design. The system will have two major components: the ultrasound transmit and receive system with customised ultrasound transducer and the AR based data capture assistant. Working prototypes of the technologies will be built for controlled clinical validations. During the research across the two countries, ethical guidelines and processes will be implemented in a systematic manner in compliance with the requirements from Cranfield University, IISc, SJRI and NIAS. The research will address the cultural and social sensitivities of the participating communities. This will have direct impact on the user interaction, data capture, transmission and storage. New technologies developed will be tested in laboratory conditions first and then in SJRI within a controlled clinical environment. The new ultrasound hardware and software performance will be compared to the best quality ultrasound scanners available in the commercial market. In parallel, the impact of the secure ultrasound scanning service for mothers across different communities will be studied using a combination of quantitative and qualitative methods. The impact of the novel technologies on the Indian society will be studied in detail by NIAS. the research team will engage with the manufacturers and their supply chain to further exploit the results of this research.

拟议的研究将开发低成本，安全的，护理点超声成像，以供印度产前护理。在偏远地区，可以为怀孕的母亲进行超声扫描的熟练技术人员或医生的可用性是印度的主要挑战。印度诊断超声的使用也引起了争议，因为它广泛滥用性堕胎。印度政府于1994年提出立法，以禁止通过PC-PNDT（概念前和产前诊断技术）的行为披露胎儿性别，并不断收紧监管以限制这种滥用，这些努力对地面的影响有限或没有影响。该问题的性质和规模是印度独有的。具有指导图像捕获和可以在印度农村地区起作用的远程诊断服务的安全超声扫描系统，对于显着改善婴儿和母亲的产前护理，健康评估和福祉至关重要。在OECD DAC的其他低收入国家（LMIC）中，印度挑战也是有效的ODA接收者清单，例如非洲国家。拟议的研究建立在艺术状态3D超声技术，护理途径建模和设计，超声图像分析，医疗保健提供和增强现实医疗助理的超声图像分析的云框架，基于超声图像的框架。这项研究将以现有研究为基础，并研究新技术开发，以应对产前护理期间印度在印度面临的“技能短缺”和“选择性堕胎”挑战。这项研究将使印度最好的大学和研究机构直接与克兰菲尔德大学合作，使用最新技术解决这一社会挑战。这项研究将在较少的超声扫描中建立能力和能力，以进行产前护理，而在印度进行扫描期间没有视觉反馈。这项研究将从印度的长期利益相关者互动和密集文献综述开始。根据印度的道德准则，这种互动将涉及在非结构化的农村地区，农村医疗保健中心，半城市城市地区，城市贫困地区和现代医院的直接产前护理观察。在英国，将与三个手术和三家医院进行较短的互动。与最终用户更好地了解他们的期望和要求将是这一部分研究的重点。从概念设计开始，要求将是超声扫描系统开发的基础。该系统将具有两个主要组件：具有自定义超声传感器和基于AR的数据捕获助手的超声传输和接收系统。该技术的工作原型将用于控制临床验证。在两国的研究中，道德准则和流程将以系统的方式符合克兰菲尔德大学，IISC，SJRI和NIAS的要求。该研究将解决参与社区的文化和社会敏感性。这将直接影响用户互动，数据捕获，传输和存储。开发的新技术将首先在实验室条件下进行测试，然后在受控临床环境中在SJRI中进行测试。新的超声硬件和软件性能将与商业市场上最优质的超声扫描仪进行比较。同时，将使用定量和定性方法的组合研究安全的超声扫描服务对不同社区母亲的影响。 Nias将详细研究新技术对印度社会的影响。研究团队将与制造商及其供应链互动，以进一步利用这项研究的结果。

项目成果

DCT/IDCT Filter Design for Ultrasound Image Filtering

• DOI: 10.1109/icpr48806.2021.9412838
• 发表时间: 2021-01
• 期刊: 2020 25th International Conference on Pattern Recognition (ICPR)
• 作者: Barmak Honarvar;J. Flusser;Yifan Zhao;J. Erkoyuncu;R. Roy

Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure

• DOI: 10.1109/access.2020.3011970
• 发表时间: 2020-01-01
• 期刊: IEEE ACCESS
• 影响因子: 3.9
• 作者: Asli, Barmak Honarvar Shakibaei;Flusser, Jan;Roy, Rajkumar
• 通讯作者: Roy, Rajkumar

Motion blur invariant for estimating motion parameters of medical ultrasound images.

• DOI: 10.1038/s41598-021-93636-4
• 发表时间: 2021-07-12
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Honarvar Shakibaei Asli B;Zhao Y;Erkoyuncu JA
• 通讯作者: Erkoyuncu JA

Filter-generating system of Zernike polynomials

• DOI: 10.1016/j.automatica.2019.108498
• 发表时间: 2019-07
• 期刊: Autom.
• 作者: Barmak Honarvar;J. Flusser;Yifan Zhao;J. Erkoyuncu

An improved freehand 3D-ultrasound volume reconstruction technique for fast scans with scanline motion correction

• DOI: 10.1117/12.2582139
• 发表时间: 2021-02
• 作者: Aparna Harindranath;Satvika Bharadwaj;K. Shah;Sanath Kumar K Nadiger;K. Krishnan;M. Arora