Jerome N P, d'Arcy J A, Feiweier T, Koh D-M, Leach M O, Collins D J, Orton M R
Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, SM2 5NG, UK.
Phys Med Biol. 2016 Dec 21;61(24):N667-N680. doi: 10.1088/1361-6560/61/24/N667. Epub 2016 Nov 28.
The bi-exponential intravoxel-incoherent-motion (IVIM) model for diffusion-weighted MRI (DWI) fails to account for differential T s in the model compartments, resulting in overestimation of pseudodiffusion fraction f. An extended model, T2-IVIM, allows removal of the confounding echo-time (TE) dependence of f, and provides direct compartment T estimates. Two consented healthy volunteer cohorts (n = 5, 6) underwent DWI comprising multiple TE/b-value combinations (Protocol 1: TE = 62-102 ms, b = 0-250 mms, 30 combinations. Protocol 2: 8 b-values 0-800 mms at TE = 62 ms, with 3 additional b-values 0-50 mms at TE = 80, 100 ms; scanned twice). Data from liver ROIs were fitted with IVIM at individual TEs, and with the T2-IVIM model using all data. Repeat-measures coefficients of variation were assessed for Protocol 2. Conventional IVIM modelling at individual TEs (Protocol 1) demonstrated apparent f increasing with longer TE: 22.4 ± 7% (TE = 62 ms) to 30.7 ± 11% (TE = 102 ms); T2-IVIM model fitting accounted for all data variation. Fitting of Protocol 2 data using T2-IVIM yielded reduced f estimates (IVIM: 27.9 ± 6%, T2-IVIM: 18.3 ± 7%), as well as T = 42.1 ± 7 ms, 77.6 ± 30 ms for true and pseudodiffusion compartments, respectively. A reduced Protocol 2 dataset yielded comparable results in a clinical time frame (11 min). The confounding dependence of IVIM f on TE can be accounted for using additional b/TE images and the extended T2-IVIM model.
用于扩散加权磁共振成像(DWI)的双指数体素内不相干运动(IVIM)模型未考虑模型各部分的不同T值,导致伪扩散分数f被高估。一种扩展模型T2-IVIM,能够消除f对回波时间(TE)的混淆依赖性,并提供各部分T值的直接估计。两组经同意的健康志愿者队列(n = 5, 6)接受了包含多个TE/b值组合的DWI检查(方案1:TE = 62 - 102 ms,b = 0 - 250 mms²,30种组合。方案2:在TE = 62 ms时8个b值0 - 800 mms²,在TE = 80、100 ms时另有3个b值0 - 50 mms²;扫描两次)。肝脏感兴趣区(ROI)的数据在各个TE值下用IVIM进行拟合,并使用所有数据用T2-IVIM模型进行拟合。对方案2评估了重复测量变异系数。在各个TE值下进行传统IVIM建模(方案1)显示,随着TE延长,表观f增加:从22.4 ± 7%(TE = 62 ms)到30.7 ± 11%(TE = 102 ms);T2-IVIM模型拟合解释了所有数据变异。使用T2-IVIM对方案2的数据进行拟合得到的f估计值降低(IVIM:27.9 ± 6%,T2-IVIM:18.3 ± 7%),真实扩散和伪扩散部分的T值分别为42.1 ± 7 ms、77.6 ± 30 ms。一个缩减的方案2数据集在临床时间范围内(11分钟)产生了可比的结果。IVIM的f对TE的混淆依赖性可以通过额外的b/TE图像和扩展的T2-IVIM模型来解释。