V-LF-Spiro3D: Low-field 3D magnetic resonance spirometry for advanced regional exploration of respiratory diseases

项目摘要肺功能是对抗新冠肺炎的中心关注点。除了大流行造成的重大损失和长期的健康影响外，呼吸系统疾病还是世界卫生组织的主要威胁。它是世界范围内导致死亡的主要原因之一，与我们的生活方式有关，影响着整个社会。目前诊断和监测肺部疾病的工具由于灵敏度低(肺功能测试)、辐射暴露(计算机断层扫描)或检查费用(磁共振成像)而受到阻碍。它们都不同程度地未能全面评估肺结构和功能V|LF-Spiro3D旨在通过高性能、低成本的MRI技术使新开发和突破性的3D MR肺活量测量大众化，以提供10分钟的形态功能MRI协议，以更安全、更容易和更舒适的方式参与患者的工作。基于巴黎萨克莱大学和阿伯丁大学最近的工作，V|LF-Spiro3D与领先的磁共振制造商西门子公司、SME核磁共振服务公司、主要的法国-荷兰医院和患者组织合作，将多学科专家聚集在一起，以患者为中心的方法为成人和儿童服务V|LF-Spiro3D将重新设计当前的MRI架构，以在低场和极低场下执行3D MR肺活量测量。高性能核磁共振硬件将通过加速收购和依赖深度学习的耦合重建策略来开发。生物力学肺部建模和深度数据处理将以临床设施中3D MR肺活量测量的实施为指导，通过优先考虑技术转移和创新，产生涵盖六种主要呼吸系统疾病的史无前例的大量规范和训练数据，V|LF-Spiro3D旨在建立一站式成像标准，对肺部病理生理进行不受限制的评估。这些影响预计将产生除肺部成像以外的好处，并促进欧盟在护理点成像和基于多参数的数字健康方面的深度技术。

Project summary Lung function is a central concern in the fight against covid-19. Beyond the pandemic heavy losses and long-term health implications, respiratory diseases represent a major threat for the World Health Organisation. It is one of the leading causes of death worldwide, associated to our way of living and impacting all of society. Current tools for diagnosing and monitoring pulmonary conditions are hindered by poor sensitivity (lung function tests), radiation exposure (computed tomography) or examination cost (magnetic resonance imaging, MRI). They all differently fail to fully assess lung structure and function V|LF-Spiro3D aims at democratizing newly developed and breakthrough 3D MR spirometry with high performance, low-cost MRI techniques to provide a ten-minute morphofunctional MRI protocol to engage patientsin a safer, easier and more comfortable way. Based on recent works at Universities Paris-Saclay and Aberdeen, in collaboration with leading MR manufacturer Siemens, SME NMR Service, major French-Dutch hospitals and patient organisations, V|LF-Spiro3D brings together multidisciplinary experts in a patient-oriented approach for both adults and children V|LF-Spiro3D will redesign current MRI architecture to perform 3D MR spirometry at low and very low field. High-performance MRI hardware will be developed with accelerated acquisitions and coupled reconstruction strategies relying on deep learning. Biomechanical lung modelling and deep data processing will be guided by implementation of 3D MR spirometry in clinical facilities to produce unprecedentedly large sets of normative and training data covering six major respiratory diseases By prioritizing both technology transfer and innovation, V| LF-Spiro3D aims to build up a one-stop-shop imaging standard for unrestricted assessment of lung pathophysiology. The impacts are expected to yield benefits beyond lung imaging and boost health deep-tech on point-of-care imaging and multi-parameter-based digital health in the EU.