Yu Jiangsheng, Ishii Masaru, Kadlecek Stephen, Lipson David A, Emami Kiarash, Clark Timothy W, Rajaei Sheeva, Rizi Rahim R
Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
J Magn Reson Imaging. 2007 May;25(5):982-91. doi: 10.1002/jmri.20901.
To develop and validate a new multiple regression technique for the separation of flip angle effect in pulmonary apparent diffusion coefficient (ADC) measurement.
Hyperpolarized (3)He MRI (HP (3)He MRI) ADC measurements were performed on phantom, pig, and human models. The diffusion-sensitization sequence is modified from a standard gradient echo (GRE) sequence with a nonlinear progression in the bipolar gradient amplitude with each image. In the self-diffusion phantom experiment, four images were acquired with base gradient factor b(0) = 0.15 second/cm(2); in the pig and human experiment, six images were acquired with base gradient factor b(0) = 1.4 second/cm(2).
The self-diffusion coefficient measured in the phantom experiment was 1.98 +/- 0.16 cm(2)/second. The measured uncertainty curve was consistent with the theoretically predicted curve. The measured in vivo ADC values (three coronal slices in the supine direction) were 0.20/0.16/0.13 cm(2)/second and 0.20/0.18/0.16 cm(2)/second for pig and human experiments, respectively.
With the introduction of a nonlinear progression in the diffusion-sensitization gradients, the multiple regression technique is capable of separating the flip angle effect in ADC measurement. In addition, this technique can perform a rigorous measurement uncertainty analysis and provide the optimal scan parameters that yield best noise performance.
开发并验证一种新的多元回归技术,用于在肺部表观扩散系数(ADC)测量中分离翻转角效应。
在体模、猪和人体模型上进行超极化(3)氦磁共振成像(HP(3)He MRI)ADC测量。扩散敏感序列是从标准梯度回波(GRE)序列修改而来,在每个图像的双极梯度幅度上具有非线性进展。在自扩散体模实验中,以基础梯度因子b(0)=0.15秒/厘米²采集了四张图像;在猪和人体实验中,以基础梯度因子b(0)=1.4秒/厘米²采集了六张图像。
在体模实验中测得的自扩散系数为1.98±0.16厘米²/秒。测得的不确定度曲线与理论预测曲线一致。在猪和人体实验中,测得的体内ADC值(仰卧位三个冠状切片)分别为0.20/0.16/0.13厘米²/秒和0.20/0.18/0.16厘米²/秒。
随着扩散敏感梯度中引入非线性进展,多元回归技术能够在ADC测量中分离翻转角效应。此外,该技术可以进行严格的测量不确定度分析,并提供产生最佳噪声性能的最佳扫描参数。