Literature DB >> 28252405

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus.

Haichao Miao1, Gabriel Mistelbauer2, Alexey Karimov1, Amir Alansary3, Alice Davidson4, David F A Lloyd4, Mellisa Damodaram4, Lisa Story4, Jana Hutter4, Joseph V Hajnal4, Mary Rutherford4, Bernhard Preim2, Bernhard Kainz3, M Eduard Groller1.   

Abstract

The human placenta is essential for the supply of the fetus. To monitor the fetal development, imaging data is acquired using (US). Although it is currently the gold-standard in fetal imaging, it might not capture certain abnormalities of the placenta. (MRI) is a safe alternative for the in utero examination while acquiring the fetus data in higher detail. Nevertheless, there is currently no established procedure for assessing the condition of the placenta and consequently the fetal health. Due to maternal respiration and inherent movements of the fetus during examination, a quantitative assessment of the placenta requires fetal motion compensation, precise placenta segmentation and a standardized visualization, which are challenging tasks. Utilizing advanced motion compensation and automatic segmentation methods to extract the highly versatile shape of the placenta, we introduce a novel visualization technique that presents the fetal and maternal side of the placenta in a standardized way. Our approach enables physicians to explore the placenta even in utero. This establishes the basis for a comparative assessment of multiple placentas to analyze possible pathologic arrangements and to support the research and understanding of this vital organ. Additionally, we propose a three-dimensional structure-aware surface slicing technique in order to explore relevant regions inside the placenta. Finally, to survey the applicability of our approach, we consulted clinical experts in prenatal diagnostics and imaging. We received mainly positive feedback, especially the applicability of our technique for research purposes was appreciated.

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Year:  2017        PMID: 28252405     DOI: 10.1109/TVCG.2017.2674938

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  6 in total

1.  Placental Flattening via Volumetric Parameterization.

Authors:  S Mazdak Abulnaga; Esra Abaci Turk; Mikhail Bessmeltsev; P Ellen Grant; Justin Solomon; Polina Golland
Journal:  Med Image Comput Comput Assist Interv       Date:  2019-10-10

Review 2.  Placental MRI: Developing Accurate Quantitative Measures of Oxygenation.

Authors:  Esra Abaci Turk; Jeffrey N Stout; Christopher Ha; Jie Luo; Borjan Gagoski; Filiz Yetisir; Polina Golland; Lawrence L Wald; Elfar Adalsteinsson; Julian N Robinson; Drucilla J Roberts; William H Barth; P Ellen Grant
Journal:  Top Magn Reson Imaging       Date:  2019-10

3.  Volumetric Parameterization of the Placenta to a Flattened Template.

Authors:  S Mazdak Abulnaga; Esra Abaci Turk; Mikhail Bessmeltsev; P Ellen Grant; Justin Solomon; Polina Golland
Journal:  IEEE Trans Med Imaging       Date:  2022-04-01       Impact factor: 11.037

4.  Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study.

Authors:  David F A Lloyd; Kuberan Pushparajah; John M Simpson; Joshua F P van Amerom; Milou P M van Poppel; Alexander Schulz; Bernard Kainz; Maria Deprez; Maelene Lohezic; Joanna Allsop; Sujeev Mathur; Hannah Bellsham-Revell; Trisha Vigneswaran; Marietta Charakida; Owen Miller; Vita Zidere; Gurleen Sharland; Mary Rutherford; Joseph V Hajnal; Reza Razavi
Journal:  Lancet       Date:  2019-03-22       Impact factor: 202.731

Review 5.  Fetal Cardiac MRI: A Review of Technical Advancements.

Authors:  Christopher W Roy; Joshua F P van Amerom; Davide Marini; Mike Seed; Christopher K Macgowan
Journal:  Top Magn Reson Imaging       Date:  2019-10

6.  APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation.

Authors:  Maximilian Pietsch; Alison Ho; Alessia Bardanzellu; Aya Mutaz Ahmad Zeidan; Lucy C Chappell; Joseph V Hajnal; Mary Rutherford; Jana Hutter
Journal:  Med Image Anal       Date:  2021-06-23       Impact factor: 8.545

  6 in total

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