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Semi-automatic segmentation of the placenta into fetal and maternal compartments using intravoxel incoherent motion MRI

机译:使用体素不相干运动MRI将胎盘半自动分割为胎儿和产妇隔室

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Intravoxel incoherent motion (IVIM) magnetic resonance imaging is an emerging non-invasive technique that has been recently applied to quantify in vivo global placental perfusion. We propose a robust semi-automated method for segmenting the placenta into fetal and maternal compartments from IVIM data, using a multi-label image segmentation algorithm called 'GrowCut'. Placental IVIM data were acquired on a 1.5T scanner from 16 healthy pregnant women between 21-37 gestational weeks. The voxel-wise perfusion fraction was then estimated after non-rigid image registration. The seed regions of the fetal and maternal compartments were determined using structural T2-weighted reference images, and improved progressively through an iterative process of the GrowCut algorithm to accurately encompass fetal and maternal compartments. We demonstrated that the placental perfusion fraction decreased in both fetal (-0.010/week) and maternal compartments (-0.013/week) while their relative difference (f_(fetal)-f_(matemal)) gradually increased with advancing gestational age (+0.003/week, p=0.065). Our preliminary results show that the proposed method was effective in distinguishing placental compartments using IVIM.
机译:体内不相干运动(IVIM)磁共振成像是一种新兴的非侵入性技术,最近已被用于量化体内整体胎盘灌注。我们提出了一种强大的半自动化方法,该方法使用称为“ GrowCut”的多标签图像分割算法从IVIM数据中将胎盘分割为胎儿和产妇区室。在1.5T扫描仪上从16名健康孕妇在21-37个孕周之间获取胎盘IVIM数据。然后在非刚性图像配准后估算体素方向的灌注分数。胎儿和产妇区室的种子区域是使用结构T2加权参考图像确定的,并通过GrowCut算法的迭代过程逐步改善,以准确地涵盖胎儿和产妇区室。我们证明胎盘灌注分数在胎儿(-0.010 /周)和产妇区室(-0.013 / week)均下降,而它们的相对差异(f_(胎儿)-f_(matemal))随着胎龄的增加而逐渐增加(+0.003 /周,p = 0.065)。我们的初步结果表明,使用IVIM可以有效地区分胎盘区室。

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