Plataforma para o processamento de imagens médicas de ultrassonografia obstétrica habilitada na nuvem

Autores

  • Kevin Jessid Figueroa Maza Universidad de Pamplona
  • Luis Enrique Mendoza Universidad de Pamplona

DOI:

https://doi.org/10.18046/syt.v13i32.2014

Palavras-chave:

morfologia, Watershed, ultrassom, translucência nucal, trissomia.

Resumo

A monitorização fetal não invasiva mediante imagiologia tem vindo crescendo nos últimos 30 anos. Estes estudos detectam problemas futuros, a fim de impedi-los. Este artigo apresenta um software que via imagens de ultrassom, permite detectar a área de translucência nucal. Esta área é importante para a detecção do trissomia 21 ou síndrome de Down. Para isso, o software contém técnicas de operações morfológicas e a transformada Watershed. Além disso, desenvolveu-se uma plataforma web que permite o acesso ao software remotamente. Finalmente demonstra-se a detecção da zona mediante a transformada Watershed

Biografia do Autor

  • Kevin Jessid Figueroa Maza, Universidad de Pamplona

    Telecommunications Engineer (Universidad de Pamplona, Colombia), certified on Technology Networking by D-Link Technology Institute. Able to investigate, design, simulate, implement, configure and implement Information and Communications Technologies [ICT] for processing, transmission and storage of information. Speaker for Electronic Fetal Monitoring System Using Electromyography and Electrocardiography Project (XVII Encuentro Nacional y XI Internacional de Semilleros de Investigación Redcolsi; II Encuentro Nacional de Semilleros de Telecomunicaciones de Reditel).

  • Luis Enrique Mendoza, Universidad de Pamplona

    Electronics Engineer and Master in Biomedical Engineering (Universidad de los Andes, Venezuela). Professor and Director of Biomedical Engineering research group at Universidad de Pamplona. His main interest areas are digital signal and image processing. Has participated as speaker in Claib, Cimenics, Latincom, Andescon, CIT, Cieta and CCIB, etc.

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Publicado

2015-03-30

Edição

Seção

Original Research