Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Med Phys. 2018 Oct;45(10):4529-4540. doi: 10.1002/mp.13118. Epub 2018 Aug 31.
Abdominal dynamic contrast-enhanced (DCE) MRI suffers from motion-induced artifacts that can blur images and distort contrast-agent uptake curves. For liver perfusion analysis, image reconstruction with rigid-body motion correction (RMC) can restore distorted portal-venous input functions (PVIF) to higher peak amplitudes. However, RMC cannot correct for liver deformation during breathing. We present a reconstruction algorithm with deformable motion correction (DMC) that enables correction of breathing-induced deformation in the whole abdomen.
Raw data from a golden-angle stack-of-stars gradient-echo sequence were collected for 54 DCE-MRI examinations of 31 patients. For each examination, a respiratory motion signal was extracted from the data and used to reconstruct 21 breathing states from inhale to exhale. The states were aligned with deformable image registration to the end-exhale state. Resulting deformation fields were used to correct back-projection images before reconstruction with view sharing. Images with DMC were compared to uncorrected images and images with RMC.
DMC significantly increased the PVIF peak amplitude compared to uncorrected images (P << 0.01, mean increase: 8%) but not compared to RMC. The increased PVIF peak amplitude significantly decreased estimated portal-venous perfusion in the liver (P << 0.01, mean decrease: 8 ml/(100 ml·min)). DMC also removed artifacts in perfusion maps at the liver edge and reduced blurring of liver tumors for some patients.
DCE-MRI reconstruction with DMC can restore motion-distorted uptake curves in the abdomen and remove motion artifacts from reconstructed images and parameter maps but does not significantly improve perfusion quantification in the liver compared to RMC.
腹部动态对比增强(DCE)MRI 受到运动伪影的影响,这些伪影会导致图像模糊和对比剂摄取曲线变形。对于肝脏灌注分析,使用刚体运动校正(RMC)进行图像重建可以将变形的门静脉输入函数(PVIF)恢复到更高的峰值幅度。然而,RMC 无法纠正呼吸期间的肝脏变形。我们提出了一种带有可变形运动校正(DMC)的重建算法,能够校正整个腹部的呼吸引起的变形。
从 31 名患者的 54 次 DCE-MRI 检查中采集黄金角度堆叠星状梯度回波序列的原始数据。对于每次检查,从数据中提取呼吸运动信号,并使用该信号从吸气到呼气重建 21 个呼吸状态。这些状态与呼气末状态对齐,使用可变形图像配准。使用所得的变形场在重建前对反向投影图像进行校正,采用视图共享。将具有 DMC 的图像与未校正的图像和具有 RMC 的图像进行比较。
与未校正的图像相比,DMC 显著增加了 PVIF 峰值幅度(P << 0.01,平均增加 8%),但与 RMC 相比则没有显著增加。增加的 PVIF 峰值幅度显著降低了肝脏的门静脉灌注估计值(P << 0.01,平均降低 8 ml/(100 ml·min))。DMC 还消除了肝脏边缘灌注图中的伪影,并减少了一些患者肝脏肿瘤的模糊。
DCE-MRI 重建时使用 DMC 可以恢复腹部运动变形的摄取曲线,从重建图像和参数图中去除运动伪影,但与 RMC 相比,对肝脏的灌注定量没有显著改善。