Department of Radiology, Stanford University, Stanford, CA, USA.
Department of Radiology, New York University School of Medicine, New York, NY, USA.
Magn Reson Imaging. 2023 Apr;97:56-67. doi: 10.1016/j.mri.2022.12.017. Epub 2022 Dec 25.
This work aimed to develop a modified stack-of-stars golden-angle radial sampling scheme with variable-density acceleration along the slice (kz) dimension (referred to as VD-stack-of-stars) and to test this new sampling trajectory with multi-coil compressed sensing reconstruction for rapid motion-robust 3D liver MRI. VD-stack-of-stars sampling implements additional variable-density undersampling along the kz dimension, so that slice resolution (or volumetric coverage) can be increased without prolonging scan time. The new sampling trajectory (with increased slice resolution) was compared with standard stack-of-stars sampling with fully sampled kz (with standard slice resolution) in both non-contrast-enhanced free-breathing liver MRI and dynamic contrast-enhanced MRI (DCE-MRI) of the liver in volunteers. For both sampling trajectories, respiratory motion was extracted from the acquired radial data, and images were reconstructed using motion-compensated (respiratory-resolved or respiratory-weighted) dynamic radial compressed sensing reconstruction techniques. Qualitative image quality assessment (visual assessment by experienced radiologists) and quantitative analysis (as a metric of image sharpness) were performed to compare images acquired using the new and standard stack-of-stars sampling trajectories. Compared to standard stack-of-stars sampling, both non-contrast-enhanced and DCE liver MR images acquired with VD-stack-of-stars sampling presented improved overall image quality, sharper liver edges and increased hepatic vessel clarity in all image planes. The results have suggested that the proposed VD-stack-of-stars sampling scheme can achieve improved performance (increased slice resolution or volumetric coverage with better image quality) over standard stack-of-stars sampling in free-breathing DCE-MRI without increasing scan time. The reformatted coronal and sagittal images with better slice resolution may provide added clinical value.
本研究旨在开发一种改进的基于黄金角度的星形径向采样方案,该方案在沿切片(kz)维度上具有可变密度加速(称为 VD-stack-of-stars),并使用多线圈压缩感知重建技术对其进行测试,以实现快速运动鲁棒性的 3D 肝脏 MRI。VD-stack-of-stars 采样在 kz 维度上实现了额外的可变密度欠采样,从而可以在不延长扫描时间的情况下增加切片分辨率(或容积覆盖范围)。在志愿者的非对比增强自由呼吸肝脏 MRI 和动态对比增强 MRI(DCE-MRI)中,将新的采样轨迹(具有增加的切片分辨率)与具有完全采样 kz(具有标准切片分辨率)的标准星形采样进行比较。对于这两种采样轨迹,从采集的径向数据中提取呼吸运动,使用运动补偿(呼吸分辨或呼吸加权)动态径向压缩感知重建技术重建图像。进行定性图像质量评估(由经验丰富的放射科医生进行视觉评估)和定量分析(作为图像锐度的度量),以比较使用新的和标准星形采样轨迹采集的图像。与标准星形采样相比,使用 VD-stack-of-stars 采样采集的非对比增强和 DCE 肝脏 MR 图像在所有图像平面上均具有更高的整体图像质量、更锐利的肝脏边缘和更清晰的肝血管。结果表明,与标准星形采样相比,在不增加扫描时间的情况下,新的 VD-stack-of-stars 采样方案可在自由呼吸 DCE-MRI 中实现更好的图像质量(增加切片分辨率或容积覆盖范围)。具有更好切片分辨率的重新格式化的冠状和矢状图像可能会提供附加的临床价值。