Web: http://arxiv.org/abs/2111.09631

June 16, 2022, 1:13 a.m. | Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon Arridge, Adrien Desjardins, Mikko J. Sillanpää, Andreas Hauptmann

cs.CV updates on arXiv.org arxiv.org

Many interventional surgical procedures rely on medical imaging to visualise
and track instruments. Such imaging methods not only need to be real-time
capable, but also provide accurate and robust positional information. In
ultrasound applications, typically only two-dimensional data from a linear
array are available, and as such obtaining accurate positional estimation in
three dimensions is non-trivial. In this work, we first train a neural network,
using realistic synthetic training data, to estimate the out-of-plane offset of
an object with the …

3d arxiv data filtering linear network neural neural network tracking

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