Dataset creation with manual segmentation

Background

Regional nerve block is a common anaesthesia technique used for surgery on the extremities. A successful block requires excellent anaesthesia experience including the ability to identify the appropriate nerves and surrounding tissues on ultrasound and good skills with a needle.

Previous studies have primarily focussed on the usage of ultrasound which has shown that ultrasound increases the success rate of regional nerve blocks. Some studies, however, have found that even with ultrasound assistance, a relatively high failure rate persists. This failure rate has largely been attributed to operators with limited experience and insufficient ultrasound skills.

A failed nerve block not only results in a bad experience for the patient, it might even lead to damage to the patients’ health and in some cases complications could even threaten life.

It’s essential to recognise ultrasound anatomy when performing nerve blocks, however this may sometimes be hampered by patients’ habitus.

Aim

In this project we will attempt to create a dataset of ultrasound images depicting the brachial plexus and manually annotate the brachial plexus for later use.

Primary objective:
1. Construct a dataset of ultrasound images depicting the brachial plexus with manual image segmentation

People

Rob Tolboom

Rob Tolboom

Radboudumc, Nijmegen

Erik Dortangs

Erik Dortangs

ETZ, Tilburg