Platform for processing medical ultrasound obstetric images enabled in the cloud

Main Article Content

Kevin Jessid Figueroa Maza
Luis Enrique Mendoza

Abstract

Fetal monitoring using noninvasive imaging has been developing over the last thirty years. These studies enable future problems to be detected and prevented. This paper presents a software that uses ultrasound imaging to detect the nuchal translucency area. This area is important for the detection of trisomy 21 or Down syndrome. For this, the software implements techniques of morphological operations and the Watershed transformation. Additionally, a web platform that allows remote access to the software was developed. Finally, the detection of the area is demonstrated using the Watershed transformation.

Article Details

Section
Original Research
Author Biographies

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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