Munich School of Bioengineering, TUM Department of Physics, Technical University of Munich, Garching, Germany.
Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Magn Reson Med. 2020 Nov;84(5):2495-2511. doi: 10.1002/mrm.28302. Epub 2020 May 5.
The linear change of the water proton resonance frequency shift (PRFS) with temperature is used to monitor temperature change based on the temporal difference of image phase. Here, the effect of motion-induced susceptibility artifacts on the phase difference was studied in the context of mild radio frequency hyperthermia in the pelvis.
First, the respiratory-induced field variations were disentangled from digestive gas motion in the pelvis. The projection onto dipole fields (PDF) as well as the Laplacian boundary value (LBV) algorithm were applied on the phase difference data to eliminate motion-induced susceptibility artifacts. Both background field removal (BFR) algorithms were studied using simulations of susceptibility artifacts, a phantom heating experiment, and volunteer and patient heating data.
Respiratory-induced field variations were negligible in the presence of the filled water bolus. Even though LBV and PDF showed comparable results for most data, LBV seemed more robust in our data sets. Some data sets suggested that PDF tends to overestimate the background field, thus removing phase attributed to temperature. The BFR methods even corrected for susceptibility variations induced by a subvoxel displacement of the phantom. The method yielded successful artifact correction in 2 out of 4 patient treatment data sets during the entire treatment duration of mild RF heating of cervical cancer. The heating pattern corresponded well with temperature probe data.
The application of background field removal methods in PRFS-based MR thermometry has great potential in various heating applications and body regions to reduce motion-induced susceptibility artifacts that originate outside the region of interest, while conserving temperature-induced PRFS. In addition, BFR automatically removes up to a first-order spatial B drift.
利用水质子共振频率位移(PRFS)随温度的线性变化,通过图像相位的时间差来监测温度变化。在此,研究了在骨盆轻度射频热疗中运动引起的磁化率伪影对相位差的影响。
首先,从骨盆中的消化道气体运动中分离出呼吸引起的场变化。在相位差数据上应用偶极子场投影(PDF)和拉普拉斯边界值(LBV)算法来消除运动引起的磁化率伪影。研究了两种背景场去除(BFR)算法,包括使用磁化率伪影模拟、体模加热实验以及志愿者和患者加热数据。
在充满水囊的情况下,呼吸引起的场变化可以忽略不计。尽管 LBV 和 PDF 对大多数数据的结果相当,但 LBV 在我们的数据集中似乎更稳健。一些数据集表明,PDF 可能会高估背景场,从而去除归因于温度的相位。BFR 方法甚至可以纠正体模亚体素位移引起的磁化率变化。该方法在 4 例宫颈癌轻度射频加热的整个治疗过程中,成功纠正了 2 例患者治疗数据集中的伪影。加热模式与温度探头数据吻合良好。
在基于 PRFS 的磁共振测温中应用背景场去除方法,在各种加热应用和身体区域中具有很大的潜力,可以减少来自感兴趣区域以外的运动引起的磁化率伪影,同时保留温度引起的 PRFS。此外,BFR 可自动去除高达一阶空间 B 漂移。