Enhancement of instrumented ultrasonic tracking images using deep learning.

Efthymios ManeasAndreas HauptmannErwin J AllesWenfeng XiaSacha NoimarkAnna L DavidSimon ArridgeAdrien E Desjardins

Published in: International journal of computer assisted radiology and surgery (2022)

The results provide strong indications of the potential of CNNs to improve the spatial resolution of ultrasonic tracking images and thereby to increase the accuracy of needle tip localisation. These improvements could have broad applicability and impact across multiple clinical fields, which could lead to improvements in procedural efficiency and reductions in risk of complications.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
ultrasound guided
risk factors
optical coherence tomography
human health
single molecule
risk assessment