Automatic fetal presentation diagnosis from ultrasound images for rural zones: Head location as an indicator for fetal presentation

Junior Arroyo, Ana C. Saavedra, Lorena Tamayo, Miguel Egoavil, Berta Ramos, Benjamin Castaneda

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Pregnancy requires constant monitoring by health care providers to avoid conditions that may threaten the lives of the fetus and the mother at birth. For labor management, the diagnosis of fetal presentation is essential to guarantee delivery viability. A direct indicator of fetal presentation is the fetal head location, which can be placed close to the canal birth (cephalic, head-first) or far from the canal birth (breech, feet first). Unlike urban areas, the population in rural zones experience difficulties in accessing healthcare monitoring. Although telemedicine has helped bring medical technology closer to these regions, the diagnosis still requires medical specialists. This study presents an automatic three-stage detection framework for assessing the fetal head position (and hence the fetal presentation). The first stage involves applying morphological filtering, intensity-based thresholding, and shapebased filtering for a preliminary head detection and segmentation. The second stage comprises segmentation enhancement using a combinatory approach. The third stage uses the detection results to depict the spatial location likelihood of the head, which indicates the head location and fetal presentation. Fifteen volunteers in the third trimester of pregnancy were evaluated, and the fetal presentation was diagnosed. These results were compared with the diagnosis of a radiologist (used as a gold standard). The proposed method presented a 100% accuracy in determining the fetal presentation, albeit a limited number of cases evaluated.

Idioma originalInglés
Título de la publicación alojadaMedical Imaging 2021
Subtítulo de la publicación alojadaComputer-Aided Diagnosis
EditoresMaciej A. Mazurowski, Karen Drukker
EditorialSPIE
ISBN (versión digital)9781510640238
DOI
EstadoPublicada - 2021
EventoMedical Imaging 2021: Computer-Aided Diagnosis - Virtual, Online, Estados Unidos
Duración: 15 feb. 202119 feb. 2021

Serie de la publicación

NombreProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volumen11597
ISSN (versión impresa)1605-7422

Conferencia

ConferenciaMedical Imaging 2021: Computer-Aided Diagnosis
País/TerritorioEstados Unidos
CiudadVirtual, Online
Período15/02/2119/02/21

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