Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
Magn Reson Med. 2021 Jul;86(1):213-229. doi: 10.1002/mrm.28713. Epub 2021 Feb 24.
Whole-heart MRA techniques typically target predetermined motion states, address cardiac and respiratory dynamics independently, and require either complex planning or computationally demanding reconstructions. In contrast, we developed a fast data-driven reconstruction algorithm with minimal physiological assumptions and compatibility with ungated free-running sequences.
We propose a similarity-driven multi-dimensional binning algorithm (SIMBA) that clusters continuously acquired k-space data to find a motion-consistent subset for whole-heart MRA reconstruction. Free-running 3D radial data sets from 12 non-contrast-enhanced scans of healthy volunteers and six ferumoxytol-enhanced scans of pediatric cardiac patients were reconstructed with non-motion-suppressed regridding of all the acquired data ("All Data"), with SIMBA, and with a previously published free-running framework (FRF) that uses cardiac and respiratory self-gating and compressed sensing. Images were compared for blood-myocardium sharpness and contrast ratio, visibility of coronary artery ostia, and right coronary artery sharpness.
Both the 20-second SIMBA reconstruction and FRF provided significantly higher blood-myocardium sharpness than All Data in both patients and volunteers (P < .05). The SIMBA reconstruction provided significantly sharper blood-myocardium interfaces than FRF in volunteers (P < .001) and higher blood-myocardium contrast ratio than All Data and FRF, both in volunteers and patients (P < .05). Significantly more ostia could be visualized with both SIMBA (31 of 36) and FRF (34 of 36) than with All Data (4 of 36) (P < .001). Inferior right coronary artery sharpness using SIMBA versus FRF was observed (volunteers: SIMBA 36.1 ± 8.1%, FRF 40.4 ± 8.9%; patients: SIMBA 35.9 ± 7.7%, FRF 40.3 ± 6.1%, P = not significant).
The SIMBA technique enabled a fast, data-driven reconstruction of free-running whole-heart MRA with image quality superior to All Data and similar to the more time-consuming FRF reconstruction.
全心 MRA 技术通常针对预定的运动状态,独立处理心脏和呼吸动力学,并且需要复杂的规划或计算密集型重建。相比之下,我们开发了一种快速的数据驱动重建算法,该算法具有最小的生理假设,并且与无门控自由运行序列兼容。
我们提出了一种相似性驱动的多维分箱算法(SIMBA),该算法对连续采集的 k 空间数据进行聚类,以找到用于全心 MRA 重建的运动一致子集。使用非运动抑制的重新网格化对所有采集数据(“全部数据”)、SIMBA 和先前发表的使用心脏和呼吸自门控和压缩感知的自由运行框架(FRF)对 12 名非对比增强扫描的健康志愿者和 6 名儿科心脏患者的自由运行 3D 径向数据集进行重建。比较了图像的血液-心肌锐利度和对比度比、冠状动脉开口的可见性以及右冠状动脉锐利度。
在患者和志愿者中,20 秒 SIMBA 重建和 FRF 均比全部数据提供了显著更高的血液-心肌锐利度(P <.05)。SIMBA 重建在志愿者中提供了显著更锐利的血液-心肌界面,比 FRF 更锐利(P <.001),并且与全部数据和 FRF 相比,血液-心肌对比度更高,在志愿者和患者中均如此(P <.05)。与全部数据(4/36)相比,SIMBA(31/36)和 FRF(34/36)均可观察到更多的开口(P <.001)。与 FRF 相比,使用 SIMBA 观察到下右冠状动脉锐利度降低(志愿者:SIMBA 36.1 ± 8.1%,FRF 40.4 ± 8.9%;患者:SIMBA 35.9 ± 7.7%,FRF 40.3 ± 6.1%,P = 无显著差异)。
SIMBA 技术能够快速、数据驱动地重建自由运行的全心 MRA,其图像质量优于全部数据,与更耗时的 FRF 重建相似。