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

博士项目的目标：为新引入的低磁场MRI扫描仪开发用于心肌组织表征的新型磁共振成像（MRI）技术，以获得最佳的准确性，精密度和可重复性。摘要：心脏磁共振成像（MRI）在心血管疾病患者的临床管理中应用广泛。心脏MRI检查通常使用昂贵的高磁场MRI扫描仪（1.5T/3T）进行，这是其在全球推广的重要限制因素。最近，廉价的低磁场（0.55T） MRI扫描仪被开发出来，作为打破这些障碍的替代方案。该项目的目的是为低场MRI扫描仪开发下一代时间效率高的心脏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（如较短的T1，较长的T2等），新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，以减少对操作员的依赖，分析时间和成本。

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.