Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA.
Pediatr Radiol. 2022 Feb;52(2):382-390. doi: 10.1007/s00247-021-05097-6. Epub 2021 May 19.
Magnetic resonance imaging (MRI) is often an ideal imaging modality for children of any age for any anatomy and for many pathologies. MRI sequences can be prescribed to produce high-resolution images of anatomical structures, characterize tissue composition, and detect physiological states and organ function. Shortening imaging sequences in any manner possible has been a topic of research and development in MRI since its emergence. Selection of imaging sequence parameters influences more than just the appearance and signal qualities of the imaged tissues; these details along with spatial encoding and data readout steps determine the time it takes to acquire an image. As each piece of image data is acquired and encoded with spatial and temporal information it is stored in k-space. As k-space is filled, either completely or partially, a diagnostic image or physiological data can be reconstructed. Shortening the length of time required for the readout step by efficiently filling k-space using compressed sensing and radial techniques is the subject of this manuscript.
磁共振成像（MRI）通常是任何年龄段儿童的理想成像方式，适用于任何解剖结构和多种病变。MRI 序列可用于生成解剖结构的高分辨率图像，描述组织成分，并检测生理状态和器官功能。自 MRI 出现以来，以任何可能的方式缩短成像序列一直是 MRI 研究和开发的主题。成像序列参数的选择不仅会影响成像组织的外观和信号质量；这些细节以及空间编码和数据读出步骤决定了获取图像所需的时间。由于每一块图像数据都带有空间和时间信息被采集和编码，因此它被存储在 k 空间中。当 k 空间被完全或部分填充时，可以重建诊断图像或生理数据。本文的主题是通过使用压缩感知和径向技术高效填充 k 空间来缩短读出步骤所需的时间长度。
