Parallel Transmission Technologies for Imaging the Brain and Body with 7 Tesla MRI

使用 7 特斯拉 MRI 对大脑和身体进行成像的并行传输技术

• 批准号: 2432150
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2432150
• 关键词: Parallel; Transmission; Technologies; Imaging; Brain

7 Tesla magnetic resonance imaging (MRI) has the potential to revolutionise clinical imaging by providing higher resolution and increased SNR. However, 7 Tesla MRI has challenges with complex transmit field (B1+) interference. Parallel transmit is the solution but current methods to calibrate the parallel transmit system can be slow and inaccurate. This project focusses on investigating methods to achieve faster and more accurate B1+ mapping at 7 Tesla for applications in both the brain and the body. The student will work closely with the industrial partner to design a robust and clinically viable pulse sequence solution. In addition, radiofrequency sensor based methods of motion correction (e.g. Pilot Tone and pTx scattering) will be studied to investigate their potential use for motion detection and correction at 7 Tesla.

7特斯拉磁共振成像(MRI)具有通过提供更高的分辨率和更高的SNR来彻底改变临床成像的潜力。然而，7特斯拉磁共振成像面临着复杂传输场(B1+)干扰的挑战。并行传输是解决方案，但目前校准并行传输系统的方法速度慢且不准确。该项目专注于研究在7特斯拉下实现更快、更准确的B1+映射的方法，以便在大脑和身体中应用。学生将与工业合作伙伴密切合作，设计一种稳健且临床可行的脉冲序列解决方案。此外，还将研究基于射频传感器的运动校正方法(例如导频音调和PTX散射)，以研究它们在7特斯拉的运动检测和校正中的潜在用途。