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A multimodal complex flow phantom for diagnostic imaging

A multimodal complex flow phantom for diagnostic imaging
用于诊断成像的多模态复杂流动体模
批准号:
2278818
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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英文摘要
This work builds on U/S flow phantom expertise being developed by the Medical Physics group at Sheffield [1,2]. The project will consist of the following tasks with effort estimated by project month.Background and literature review (M1-M4) Review of the literature pertaining to calibration of quantitative diagnostic imaging technologies for measurement of physiological flows. This will cover flow theory, phantom design and construction, compliance with recognised standards, application in a clinical context, issues of IPR etc. Clinical imaging techniques, computational and experimental flow field assessment (M5-M12) A fundamental understanding of flow imaging methods using X-ray, U/S, MRI and the current state-of-the-art in phantoms for clinical assessment will underpin early work strengthened by visits to clinical units. The student will also be introduced to fluid dynamics (and CFD in particular) for theoretical description of the ring vortex flows that are implicit to the phantom design. This will be complemented by initial development of idealised experimental systems that provide familiarity with ring vortex production and behaviour, leading to an initial design concept for the phantom by the end of Year 1.Prototype phantom construction and testing (M13-M24) This activity will benefit from the design and manufacturing expertise of Leeds Test Objects (LTO, phantom manufacturer with X years expertise in the field, who provide phantoms to over Y healthcare clients). LTO will provide guidance in the design constraints associated with operation in X-ray, MRI and U/S environments and adherence to appropriate standards (e.g. BS EN 61685:2002, IEC 61685:2001). Limitations imposed by the MRI environment in particular, suggest a hydraulically driven mechanism for generating reproducible complex flows. For calibration purposes reproducibility of the dynamic full flow field must be extremely well characterised and the tolerances within which this can be achieved will be established (using a combination of CFD and experimental flow visualization). Successful construction and characterisation of the flow phantom prototype is anticipated by the end of Year 2, so that its application to clinical technology can be investigated during Year 3.Phantom deployment for benchmarking of clinical imaging systems (M15-M36) The phantom delivered at M24 will be used to evaluate imaging systems in the NHS alongside established methods. A critical comparison of these varied approaches and their implications for reliably imaging physiological/pathological complex flows for diagnostic purposes will provide high quality data to support a high-impact publication. In addition to these scientific outputs this phase of the project will deliver, in partnership with LTO, materials suitable for marketing the unique features of the complex flow phantom as a general, clinically relevant, flow test object. Exploitation plan and thesis finalisation (M37-M42) The final period of the project will focus on finalisation of the PhD thesis, but will also deliver any recommendations for improved design based on the outcomes of the clinical benchmarking exercise and a strategy for exploitation (IPR, patenting). Due to the translational nature of the project these latter aspects are expected to contribute to the last chapter of the thesis.
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DOI: 10.4236/ojmi.2023.131002
发表时间: 2023
期刊: Open Journal of Medical Imaging
影响因子: --
作者: [Alana S. Matthews;Kelvin Simatwo;A. Narracott;S. Ambrogio;A. Walker;J. Fenner]
通讯作者: Alana S. Matthews;Kelvin Simatwo;A. Narracott;S. Ambrogio;A. Walker;J. Fenner
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  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    赵锐
  • 依托单位:
利用新型 pH 荧光探针研究 Syntaxin 12/13 介导的多种细胞器互作
  • 批准号:
    92054103
  • 项目类别:
    重大研究计划
  • 资助金额:
    87.0万元
  • 批准年份:
    2020
  • 负责人:
    康建胜
  • 依托单位: