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Updated: Oct 5, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
Published on: January 7, 2021
Detecting abnormal placental microvascular flow in maternal and fetal diseases based on flow-compensated and
Yuhao Liao1, Taotao Sun2, Ling Jiang2
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Introduction:
Intravoxel Incoherent Motion (IVIM) imaging has been used to assess placental microcirculatory flows. We proposed a joint analysis of flow-compensated (FC) and non-compensated (NC) diffusion MRI to estimate the fraction and velocity of ballistic microcirculatory flow (fb and vb), and evaluated the diagnostic performance of the new markers in maternal and fetal disorders.
Methods:
Gestational diabetes mellitus (GDM, n = 15) pregnancies and fetal growth restriction (FGR, n = 12), along with gestational age matched normal controls (n = 19 for GDM and 15 for FGR) underwent FC and NC-encoded IVIM scans at 1.5 T. fb and vb obtained from a FC-NC joint model, along with the conventional IVIM indices, were compared between patient groups for whole-placenta and maternal/fetal sides of the placenta. A linear support vector machine (SVM) was used to classify the GDM, FGR and controls.
Results:
vb of whole-placenta were significantly lower in both GDM (p = 0.017) and FGR (p = 0.043), compared with their controls, and the differences were more evident in the fetal side (p = 0.010 for GDM and p = 0.042 for FGR). fb and fFC showed group differences in the fetal side and DFC showed differences in whole-placenta for GDM patients. In the classification task, vb showed the highest diagnostic accuracy of 70.6% for GDM and 63.0% for FGR, and the combination of fb and vb further improved the detection accuracy to 73.5% and 66.7% for GDM and FGR, respectively.
Discussion:
vb showed superior performance in the diagnosis of GDM and FGR, indicating the potential of the joint FC-NC IVIM method for placenta examinations.
Insights
New Intravoxel Incoherent Motion (IVIM) imaging markers, ballistic microcirculatory flow fraction (fb) and velocity (vb), show promise for diagnosing gestational diabetes mellitus (GDM) and fetal growth restriction (FGR) in placentas.
Area of Science:
- Medical Imaging
- Biophysics
- Obstetrics
Background:
- Intravoxel Incoherent Motion (IVIM) imaging is utilized for assessing placental microcirculatory function.
- Conventional IVIM parameters may not fully capture complex placental flow dynamics.
Purpose of the Study:
- To introduce and evaluate novel placental microcirculatory flow markers (fb and vb) derived from a joint analysis of flow-compensated (FC) and non-compensated (NC) diffusion MRI.
- To assess the diagnostic performance of these new markers in differentiating between normal pregnancies, gestational diabetes mellitus (GDM), and fetal growth restriction (FGR).
Main Methods:
- A joint FC-NC IVIM model was employed to estimate ballistic microcirculatory flow fraction (fb) and velocity (vb).
- Diffusion MRI scans were performed on pregnant individuals with GDM (n=15), FGR (n=12), and age-matched controls (n=19 for GDM, n=15 for FGR).
- Conventional IVIM indices and the new markers were compared across groups for the whole placenta and its maternal/fetal sides. A linear support vector machine (SVM) was used for classification.
Main Results:
- Significantly lower whole-placenta vb was observed in both GDM (p=0.017) and FGR (p=0.043) compared to controls, with more pronounced differences on the fetal side.
- fb and fFC showed group differences on the fetal side, and DFC differed in the whole placenta for GDM patients.
- vb achieved the highest diagnostic accuracy (70.6% for GDM, 63.0% for FGR), with the combination of fb and vb improving accuracy to 73.5% (GDM) and 66.7% (FGR).
Conclusions:
- The ballistic microcirculatory flow velocity (vb) demonstrates superior performance in diagnosing GDM and FGR.
- The joint FC-NC IVIM method holds significant potential for enhanced placental examinations and diagnosis of pregnancy-related disorders.
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