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Imaging fetal anatomy.
Dawood, Yousif; Buijtendijk, Marieke F J; Shah, Harsha; Smit, Johannes A; Jacobs, Karl; Hagoort, Jaco; Oostra, Roelof-Jan; Bourne, Tom; van den Hoff, Maurice J B; de Bakker, Bernadette S.
Afiliação
  • Dawood Y; Amsterdam UMC, University of Amsterdam, Department of Obstetrics and Gynecology, Amsterdam Reproduction & Development research institute, Meibergdreef 9, Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology,
  • Buijtendijk MFJ; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology, Amsterdam Reproduction & Development research institute, Meibergdreef 15, Amsterdam, The Netherlands.
  • Shah H; Imperial College London, Department of Metabolism, Digestion and Reproduction, Division of Reproductive and Developmental Biology, London, United Kingdom.
  • Smit JA; Amsterdam UMC, University of Amsterdam, Department of Plastic, Reconstructive and Hand Surgery, Meibergdreef 9, Amsterdam, The Netherlands.
  • Jacobs K; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology, Amsterdam Reproduction & Development research institute, Meibergdreef 15, Amsterdam, The Netherlands.
  • Hagoort J; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology, Amsterdam Reproduction & Development research institute, Meibergdreef 15, Amsterdam, The Netherlands.
  • Oostra RJ; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology, Amsterdam Reproduction & Development research institute, Meibergdreef 15, Amsterdam, The Netherlands.
  • Bourne T; Imperial College London, Department of Metabolism, Digestion and Reproduction, Division of Reproductive and Developmental Biology, London, United Kingdom.
  • van den Hoff MJB; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology, Amsterdam Reproduction & Development research institute, Meibergdreef 15, Amsterdam, The Netherlands.
  • de Bakker BS; Amsterdam UMC, University of Amsterdam, Department of Obstetrics and Gynecology, Amsterdam Reproduction & Development research institute, Meibergdreef 9, Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Medical Biology, Section Clinical Anatomy & Embryology,
Semin Cell Dev Biol ; 131: 78-92, 2022 11.
Article em En | MEDLINE | ID: mdl-35282997
ABSTRACT
Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving towards the first trimester of pregnancy. The early first trimester however remains in part, a 'black box', due to the size of the developing embryo and the limitations of contemporary scanning techniques. Therefore there is a need for images of early anatomical developmental to improve our understanding of this area. By using new imaging techniques, we can not only obtain better images to further our knowledge of early embryonic development, but clear images of embryonic and fetal development can also be used in training for e.g. sonographers and fetal surgeons, or to educate parents expecting a child with a fetal anomaly. The aim of this review is to provide an overview of the past, present and future techniques used to capture images of the developing human embryo and fetus and provide the reader newest insights in upcoming and promising imaging techniques. The reader is taken from the earliest drawings of da Vinci, along the advancements in the fields of in utero ultrasound and MR imaging techniques towards high-resolution ex utero imaging using Micro-CT and ultra-high field MRI. Finally, a future perspective is given about the use of artificial intelligence in ultrasound and new potential imaging techniques such as synchrotron radiation-based CT to increase our knowledge regarding human development.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Feto Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Feto Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article