Automatic Placenta Localisation from Ultrasound Imaging in a Resource-Limited Setting

M. Schilpzand

Master thesis 2020.

Placenta previa and low-lying placenta are dangerous conditions that can cause severe

maternal and fetal complications. Obstetric ultrasound imaging is commonly used to

detect these maternal risk factors. Unfortunately, low-income countries suffer from a

shortage of trained sonographers to perform ultrasound examinations. To address this

problem, this study presents an algorithm to automatically detect low-lying placenta or

placenta previa from ultrasound data acquired with a standardized acquisition protocol.

This acquisition protocol can be taught to any healthcare worker within two hours. The

detection algorithm was optimized for performance and efficiency so that it can run on

a smartphone in combination with low-cost ultrasound equipment. The dataset used

in this study originates from St. Luke's hospital in Wolisso, Ethiopia and was acquired

with a low-cost ultrasound device. The detection algorithm consisted of two parts. First