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Fetal heart segmentation in a virtual reality environment.
Giffoni, Marcela Castro; Lopes, Jorge; Ribeiro, Gerson; Araujo Júnior, Edward; Werner, Heron.
Afiliação
  • Giffoni MC; Department of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.
  • Lopes J; Department of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.
  • Ribeiro G; National Institute of Technology (INT), Rio de Janeiro, RJ, Brazil.
  • Araujo Júnior E; Department of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.
  • Werner H; Department of Obstetrics, Paulista School of Medicine - Federal University of São Paulo (EPM-UNIFESP), Rua Belchior de Azevedo, 156 apto. 111 Torre Vitoria, São Paulo, SP, CEP 05089-030, Brazil. araujojred@terra.com.br.
Int J Cardiovasc Imaging ; 2024 Jun 04.
Article em En | MEDLINE | ID: mdl-38831221
ABSTRACT
This study presents the initial results of a pilot project using the Elucis Virtual Reality (VR) platform for fetal heart segmentation. Twelve fetal heart cases, ranging in gestational age from 24 to 30 weeks, including various cardiac conditions, were reconstructed using 3D models facilitated by the Elucis platform's integration of automated algorithms and manual adjustments. The models, which were evaluated by four experts in virtual and 3D printed formats, were of high quality and offered improved visuospatial visualization and detailed anatomical insights. This research highlights the potential of VR technology to improve prenatal diagnosis and planning for complex cardiac conditions, suggesting significant implications for continuing medical education and clinical practice in fetal cardiology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Cardiovasc Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Cardiovasc Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos