Qiu Yueqi, Bai Haoran, Chen Hao, Zhao Yue, Luo Hai, Wu Ziyue, Zhang Zhiyong
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Front Neurosci. 2022 Oct 12;16:999240. doi: 10.3389/fnins.2022.999240. eCollection 2022.
The high-performance low-field magnetic resonance imaging (MRI) system, equipped with modern hardware and contemporary imaging capabilities, has garnered interest within the MRI community in recent years. It has also been proven to have unique advantages over high-field MRI in both physical and cost aspects. However, for susceptibility weighted imaging (SWI), the low signal-to-noise ratio and the long echo time inherent at low field hinder the SWI from being applied to clinical applications. This work optimized the imaging protocol to select suitable parameters such as the values of time of echo (TE), repetition time (TR), and the flip angle (FA) of the RF pulse according to the signal simulations for low-field SWI. To improve the signal-to-noise ratio (SNR) performance, averaging multi-echo magnitude images and BM4D phase denoising were proposed. A comparison of the SWI in 0.5T and 1.5T was carried out, demonstrating the capability to identify magnetic susceptibility differences between variable tissues, especially, the blood veins. This would open the possibility to extend SWI applications in the high-performance low field MRI.
配备现代硬件和当代成像能力的高性能低场磁共振成像(MRI)系统近年来在MRI领域引起了关注。在物理和成本方面,它也被证明比高场MRI具有独特优势。然而,对于磁敏感加权成像(SWI),低场固有的低信噪比和长回波时间阻碍了SWI应用于临床。这项工作根据低场SWI的信号模拟优化了成像协议,以选择合适的参数,如回波时间(TE)、重复时间(TR)和射频脉冲的翻转角(FA)。为了提高信噪比(SNR)性能,提出了对多回波幅度图像进行平均和BM4D相位去噪的方法。对0.5T和1.5T的SWI进行了比较,证明了识别不同组织间磁敏感性差异的能力,特别是静脉。这将为在高性能低场MRI中扩展SWI应用开辟可能性。