Department of Radiology, School of Medicine, Case Western Reserve University / University Hospitals of Cleveland, Cleveland, Ohio 44106, USA.
Magn Reson Med. 2013 Feb;69(2):346-59. doi: 10.1002/mrm.24256. Epub 2012 Apr 3.
Contrast-enhanced magnetic resonance angiography is challenging due to the need for both high spatial and temporal resolution. A multishot trajectory composed of pseudo-random rotations of a single multiecho radial readout was developed. The trajectory is designed to give incoherent aliasing artifacts and a relatively uniform distribution of projections over all time scales. A field map (computed from the same data set) is used to avoid signal dropout in regions of substantial field inhomogeneity. A compressed sensing reconstruction using the GraDeS algorithm was used. Whole brain angiograms were reconstructed at 1-mm isotropic resolution and a 1.1-s frame rate (corresponding to an acceleration factor > 100). The only parameter which must be chosen is the number of iterations of the GraDeS algorithm. A larger number of iterations improves the temporal behavior at cost of decreased image signal-to-noise ratio. The resulting images provide a good depiction of the cerebral vasculature and have excellent arterial/venous separation.
由于需要高空间和时间分辨率,对比增强磁共振血管造影具有挑战性。开发了一种由单个多回波径向读出的伪随机旋转组成的多shot 轨迹。该轨迹旨在产生不相关的混叠伪影,并在所有时间尺度上相对均匀地分布投影。使用场图(从同一数据集计算)来避免在具有显著场不均匀性的区域中的信号丢失。使用 GraDeS 算法进行压缩感知重建。以 1 毫米各向同性分辨率和 1.1 秒帧率(对应于> 100 的加速因子)重建全脑血管造影。唯一必须选择的参数是 GraDeS 算法的迭代次数。更多的迭代次数可以改善时间行为,但代价是图像信噪比降低。得到的图像很好地描绘了脑血管,并具有出色的动脉/静脉分离。