6Department of Radiology, University Children's Hospital Zurich, Zurich, Switzerland
7Center for MR Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
Presenting Author: Kelly Payette
Synopsis
Motivation:
Goals:
Approach:
Results:
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.
Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.
To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.
1. Prayer D, Malinger G, De Catte L, et al. ISUOG Practice Guidelines (updated): performance of fetal magnetic resonance imaging. Ultrasound in Obstetrics & Gynecology. 2023;61(2):278-287. doi:10.1002/uog.26129 [doi]
2. Lu T, Song B, Pu H, et al. Prognosticators of intravoxel incoherent motion (IVIM) MRI for adverse maternal and neonatal clinical outcomes in patients with placenta accreta spectrum disorders. Transl Androl Urol. 2020;9(2):258-266. doi:10.21037/tau.2019.12.27 [doi]
3. Jakab A, Tuura RL, Kottke R, et al. Microvascular perfusion of the placenta, developing fetal liver, and lungs assessed with intravoxel incoherent motion imaging. J Magn Reson Imaging. December 2017. doi:10.1002/jmri.25933 [doi]
4. León RL, Brown BP, Persohn SA, et al. Intravoxel incoherent motion MR imaging analysis for diagnosis of placenta accrete spectrum disorders: A pilot feasibility study. Magnetic Resonance Imaging. 2021;80:26-32. doi:10.1016/j.mri.2021.03.007 [doi]
5. Slator PJ, Hutter J, McCabe L, et al. Placenta microstructure and microcirculation imaging with diffusion MRI. Magn Reson Med. 2018;80(2):756-766. doi:10.1002/mrm.27036 [doi]
6. Liu XL, Feng J, Huang CT, Mei YJ, Xu YK. Use of intravoxel incoherent motion MRI to assess placental perfusion in normal and Fetal Growth Restricted pregnancies on their third trimester. Placenta. 2022;118:10-15. doi:10.1016/j.placenta.2021.12.019 [doi]
7. Ercolani G, Capuani S, Celli V, et al. Intravoxel incoherent motion MRI to assess feto-placental diffusion and perfusion properties in small fetuses. Radiol Med. 2025;130(1):81-95. doi:10.1007/s11547-024-01918-4 [doi]
8. Walsh CJ, Meyers ML, Chandnani N, et al. Quantitative evaluation of placental microvascular blood flow and microstructure in fetal growth restriction with IVIM MRI. Pediatr Radiol. 2025;55(3):546-555. doi:10.1007/s00247-024-06151-9 [doi]
9. Lu T, Pu H, Li K de, Mei J, Huang M wei, Wang S yu. Can introvoxel incoherent motion MRI be used to differentiate patients with placenta accreta spectrum disorders? BMC Pregnancy and Childbirth. 2019;19(1):531. doi:10.1186/s12884-019-2676-x [doi]
10. Le Bihan D, Ichikawa S, Motosugi U. Diffusion and Intravoxel Incoherent Motion MR Imaging-based Virtual Elastography: A Hypothesis-generating Study in the Liver. Radiology. 2017;285(2):609-619. doi:10.1148/radiol.2017170025 [doi]
11. Edwards C, Cavanagh E, Kumar S, Clifton V, Fontanarosa D. The use of elastography in placental research – A literature review. Placenta. 2020;99:78-88. doi:10.1016/j.placenta.2020.07.014 [doi]
12. Xu J, Mao Y, Qu F, Hua X, Cheng J. Detection of placental stiffness using virtual magnetic resonance elastography in pregnancies complicated by preeclampsia. Arch Gynecol Obstet. 2024;310(4):2283-2289. doi:10.1007/s00404-024-07585-0 [doi]
13. Deng J, Song J, Zhang A, Qu F, Wu Y, Chen T. Evaluating placental microstructure and microcirculation in predicting the progression of gestational hypertension to preeclampsia: a systematic comparison between virtual MR elastography, IVIM, ultrasound and lab indexes. Magnetic Resonance Imaging. 2025;122:110453. doi:10.1016/j.mri.2025.110453 [doi]
14. Deng J, Cao Y, Lu Y, et al. Value of placental virtual magnetic resonance elastography and intravoxel incoherent motion-based diffusion and perfusion in predicting adverse outcomes of small-for-gestational-age infants. Insights into Imaging. 2023;14(1):153. doi:10.1186/s13244-023-01503-9 [doi]
15. Conturo TE, McKinstry RC, Akbudak E, Robinson BH. Encoding of anisotropic diffusion with tetrahedral gradients: A general mathematical diffusion formalism and experimental results. Magnetic Resonance in Medicine. 1996;35(3):399-412. doi:10.1002/mrm.1910350319 [doi]
16. Tournier JD, Smith R, Raffelt D, et al. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage. 2019;202:116137. doi:10.1016/j.neuroimage.2019.116137 [doi]
17. Fick RHJ, Wassermann D, Deriche R. The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy. Frontiers in Neuroinformatics. 2019;13. https://www.frontiersin.org/articles/10.3389/fninf.2019.00064. Accessed November 3, 2022.
18. Alfuraih AM. The Emerging Role of Sonoelastography in Pregnancy: Applications in Assessing Maternal and Fetal Health. Diagnostics (Basel). 2024;15(1):47. doi:10.3390/diagnostics15010047 [doi]