Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Munich, Germany.
Magn Reson Med. 2021 Sep;86(3):1256-1270. doi: 10.1002/mrm.28755. Epub 2021 Apr 1.
To develop a methodology for probing lipid droplet sizes with a clinical system based on a diffusion-weighted stimulated echo-prepared turbo spin-echo sequence and to validate the methodology in water-fat emulsions and show its applicability in ex vivo adipose-tissue samples.
A diffusion-weighted stimulated echo-prepared preparation was combined with a single-shot turbo spin-echo readout for measurements at different b-values and diffusion times. The droplet size was estimated with an analytical expression, and three fitting approaches were compared: magnitude-based spatial averaging with voxel-wise residual minimization, complex-based spatial averaging with voxel-wise residual minimization, and complex-based spatial averaging with neighborhood-regularized residual minimization. Simulations were performed to characterize the fitting residual landscape and the approaches' noise performance. The applicability was assessed in oil-in-water emulsions in comparison with laser deflection and in ten human white adipose tissue samples in comparison with histology.
The fitting residual landscape showed a minimum valley with increasing extent as the droplet size increased. In phantoms, a very good agreement of the mean droplet size was observed between the diffusion-weighted MRI-based and the laser deflection measurements, showing the best performance with complex-based spatial averaging with neighborhood-regularized residual minimization processing (R /P: 0.971/0.014). In the human adipose-tissue samples, complex-based spatial averaging with neighborhood-regularized residual minimization processing showed a significant correlation (R /P: 0.531/0.017) compared with histology.
The proposed acquisition and parameter-estimation methodology was able to probe restricted diffusion effects in lipid droplets. The methodology was validated using phantoms, and its feasibility in measuring an apparent lipid droplet size was demonstrated ex vivo in white adipose tissue.
开发一种基于扩散加权激励回波预平衡涡轮自旋回波序列的临床系统来探测脂滴大小的方法,并在水-脂乳液中验证该方法,展示其在离体脂肪组织样本中的适用性。
扩散加权激励回波预平衡与单次激发涡轮自旋回波读取相结合,用于在不同 b 值和扩散时间下进行测量。利用解析表达式估算液滴尺寸,并比较了三种拟合方法:基于幅度的空间平均与体素残差最小化、基于复数的空间平均与体素残差最小化、基于复数的空间平均与邻域正则化残差最小化。进行了模拟以表征拟合残差地形和方法的噪声性能。与激光偏转法比较,在油包水乳液中评估了适用性,并与组织学比较,在 10 个人体白色脂肪组织样本中评估了适用性。
拟合残差地形显示出随着液滴尺寸增加而逐渐增加的最小谷值。在体模中,扩散加权 MRI 基于和激光偏转测量的平均液滴尺寸之间观察到非常好的一致性,表明具有邻域正则化残差最小化处理的基于复数的空间平均具有最佳性能(R / P:0.971/0.014)。在人体脂肪组织样本中,与组织学相比,具有邻域正则化残差最小化处理的基于复数的空间平均显示出显著的相关性(R / P:0.531/0.017)。
所提出的采集和参数估计方法能够探测脂滴中的受限扩散效应。该方法使用体模进行了验证,并在离体白色脂肪组织中证明了测量表观脂滴大小的可行性。