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Semi-automatic segmentation of the placenta into fetal and maternal compartments using intravoxel incoherent motion MRI.
You, Wonsang; Andescavage, Nickie; Zun, Zungho; Limperopoulos, Catherine.
Afiliación
  • You W; Dept. of Diagnostic Imaging and Radiology, Children's National Medical Center, Washington, DC, USA.
  • Andescavage N; Dept. of Diagnostic Imaging and Radiology, Children's National Medical Center, Washington, DC, USA.
  • Zun Z; Dept. of Neonatology, Children's National Medical Center, Washington, DC, USA.
  • Limperopoulos C; Dept. of Diagnostic Imaging and Radiology, Children's National Medical Center, Washington, DC, USA.
Article en En | MEDLINE | ID: mdl-28947842
ABSTRACT
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 (ffetal-fmaternal) 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
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