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Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI.
Uus, Alena U; Hall, Megan; Grigorescu, Irina; Avena Zampieri, Carla; Egloff Collado, Alexia; Payette, Kelly; Matthew, Jacqueline; Kyriakopoulou, Vanessa; Hajnal, Joseph V; Hutter, Jana; Rutherford, Mary A; Deprez, Maria; Story, Lisa.
Afiliación
  • Uus AU; School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK. alena.uus@kcl.ac.uk.
  • Hall M; Centre for the Developing Brain, King's College London, London, UK.
  • Grigorescu I; Department of Women and Children's Health, King's College London, London, UK.
  • Avena Zampieri C; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Egloff Collado A; School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Payette K; Centre for the Developing Brain, King's College London, London, UK.
  • Matthew J; Department of Women and Children's Health, King's College London, London, UK.
  • Kyriakopoulou V; Centre for the Developing Brain, King's College London, London, UK.
  • Hajnal JV; School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Hutter J; Centre for the Developing Brain, King's College London, London, UK.
  • Rutherford MA; School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Deprez M; Centre for the Developing Brain, King's College London, London, UK.
  • Story L; Centre for the Developing Brain, King's College London, London, UK.
Sci Rep ; 14(1): 6637, 2024 03 19.
Article en En | MEDLINE | ID: mdl-38503833
ABSTRACT
Structural fetal body MRI provides true 3D information required for volumetry of fetal organs. However, current clinical and research practice primarily relies on manual slice-wise segmentation of raw T2-weighted stacks, which is time consuming, subject to inter- and intra-observer bias and affected by motion-corruption. Furthermore, there are no existing standard guidelines defining a universal approach to parcellation of fetal organs. This work produces the first parcellation protocol of the fetal body organs for motion-corrected 3D fetal body MRI. It includes 10 organ ROIs relevant to fetal quantitative volumetry studies. We also introduce the first population-averaged T2w MRI atlas of the fetal body. The protocol was used as a basis for training of a neural network for automated organ segmentation. It showed robust performance for different gestational ages. This solution minimises the need for manual editing and significantly reduces time. The general feasibility of the proposed pipeline was also assessed by analysis of organ growth charts created from automated parcellations of 91 normal control 3T MRI datasets that showed expected increase in volumetry during 22-38 weeks gestational age range.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Feto Límite: Female / Humans / Pregnancy Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Feto Límite: Female / Humans / Pregnancy Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido