Hybrid imaging/modelling: A new paradigm for understanding the lung

混合成像/建模：了解肺部的新范例

• 批准号: DP150102240
• 负责人: Prof Gregory Sheard
• 金额: $ 23.07万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-03-01 至 2018-11-22
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150102240
• 关键词: Hybrid; imaging; modelling; new; paradigm

Our lungs are essential to sustain our lives, yet the details of lung biomechanics are barely understood because the available tools, imaging, modelling and simulation have significant limitations. Imaging is largely limited to providing structural information; simulation is severely restricted by a lack of validation; and inverse modelling is critically hampered by a lack of spatially resolved inputs. The project’s multidisciplinary team is uniquely positioned to explore these problems through the hybridisation of world-leading functional lung imaging technology with state-of-the-art modelling. This project aims to provide, perhaps for the first time, the capacity to see details with the resolution of imaging, richness of modelling and reliability of the finest measurements.

我们的肺对于维持我们的生命至关重要，但由于可用的工具，成像，建模和模拟具有显着的局限性，因此几乎不了解肺生物力学的细节。成像在很大程度上限于提供结构信息;模拟受到缺乏验证的严重限制;逆向建模受到缺乏空间分辨率输入的严重阻碍。该项目的多学科团队具有独特的优势，通过将世界领先的功能性肺成像技术与最先进的建模相结合来探索这些问题。该项目的目的是提供，也许是第一次，看到细节的能力与成像的分辨率，丰富的建模和可靠的最好的测量。