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

肺功能是抗击COVID-19的核心问题。除了大流行造成的重大损失和长期健康影响外，呼吸道疾病是世界卫生组织面临的主要威胁。它是全世界死亡的主要原因之一，与我们的生活方式有关，并影响到整个社会。目前用于诊断和监测肺部病症的工具受到灵敏度差（肺功能测试）、辐射暴露（计算机断层扫描）或检查成本（磁共振成像，MRI）的阻碍。它们都不同地未能充分评估肺的结构和功能|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肺功能测定法大众化，提供10分钟的形态功能性MRI方案，以更安全、更轻松、更舒适的方式吸引患者。基于最近在巴黎萨克雷大学和阿伯丁大学的工作，与领先的MR制造商西门子，SME NMR服务，主要的法国-荷兰医院和患者组织合作，V| LF-Spiro3D汇集了多学科专家，以面向成人和儿童的患者方法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肺功能测定。高性能MRI硬件将通过加速采集和依赖于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通过在临床设施中实施3D MR肺量计来指导，以产生前所未有的大量规范和训练数据集，涵盖六种主要呼吸系统疾病。|LF-Spiro3D旨在建立一站式成像标准，用于无限制地评估肺部病理生理学。这些影响预计将产生肺部成像以外的好处，并促进欧盟医疗点成像和基于多参数的数字健康的健康深度技术。

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.