UltrARsound: in situ visualization of live ultrasound images using HoloLens 2.

Felix von HaxthausenRafael Moreta-MartinezAlicia Pose Díez de la LastraJavier PascauFloris Ernst

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

In this work, we showed that spatial tracking of retroreflective spheres with the depth camera of HoloLens 2 is feasible, achieving a promising accuracy for in situ visualization of live US images. For tracking, no additional hardware nor modifications to HoloLens 2 are required making it a cheap and easy-to-use approach. Moreover, a minimal latency of displayed images enables a real-time perception for the sonographer.

Keyphrases

convolutional neural network
deep learning
optical coherence tomography
magnetic resonance imaging
computed tomography
mass spectrometry
electron microscopy