Towards widespread use of cardiac MRI using new affordable low magnetic field (0.55T) MRI scanner and AI

使用新型经济实惠的低磁场 (0.55T) MRI 扫描仪和 AI 实现心脏 MRI 的广泛使用

• 批准号: 2904562
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2904562
• 关键词: Towards; widespread; use; cardiac; MRI

Aim of the PhD Project:To develop novel magnetic resonance imaging (MRI) techniques for myocardial tissue characterisation for newly introduced low magnetic field MRI scanners for optimal accuracy, precision, and reproducibilityTo automate the workflow of these techniques (scan prescription, image acquisition/reconstruction, and post-processing/analysis) using AITo evaluate the proposed methods in phantom/healthy volunteers/patientsSummary:Cardiac magnetic resonance imaging (MRI) is commonly used for the clinical management of patients with cardiovascular diseases. cardiac MRI examinations are commonly performed using high magnetic field MRI scanners (1.5T/3T) which are expensive, and this has been an important limiting factor to their worldwide spread. Affordable low magnetic field (0.55T) MRI scanners have been recently developed as an alternative to break such barriers. The aim of this project will be to develop the next generation of time efficient cardiac MRI acquisition techniques for low field MRI scanners. This will involve the development of novel acquisition schemes taking advantage of specific properties of magnetic tissue properties at low field (such as shorter T1, longer T2, etc), novel acceleration techniques and AI-based reconstruction methods and to automate image analysis using AI to reduce operator dependency, analysis time, and cost.

博士项目的目标：开发用于新推出的低磁场 MRI 扫描仪的心肌组织表征的新型磁共振成像 (MRI) 技术，以实现最佳的准确性、精确性和可重复性自动化这些技术的工作流程（扫描处方、图像采集/重建） ，和后处理/分析）使用人工智能评估幻像/健康志愿者/患者所提出的方法总结：心脏磁共振成像（MRI）通常用于心血管疾病患者的临床管理。心脏MRI检查通常使用高磁场MRI扫描仪（1.5T/3T）进行，价格昂贵，这一直是其在全球范围内推广的重要限制因素。最近开发出经济实惠的低磁场 (0.55T) MRI 扫描仪作为打破此类障碍的替代方案。该项目的目标是为低场 MRI 扫描仪开发下一代省时的心脏 MRI 采集技术。这将涉及开发新的采集方案，利用低场下磁性组织特性的特定特性（例如较短的 T1、较长的 T2 等）、新颖的加速技术和基于人工智能的重建方法，并使用人工智能自动进行图像分析，以减少操作员依赖性、分析时间和成本。