  Ultrasound (US) imaging is one of the most commonly used non-invasive imaging
techniques. However, US image acquisition requires simultaneous guidance of the
transducer and interpretation of images, which is a highly challenging task
that requires years of training. Despite many recent developments in
intra-examination US image analysis, the results are not easy to translate to a
clinical setting. We propose a generic framework to extract the US images and
superimpose the results of an analysis task, without any need for physical
connection or alteration to the US system. The proposed method captures the US
image by tracking the screen with a camera fixed at the sonographer's view
point and reformats the captured image to the right aspect ratio, in 87.66 +-
3.73ms on average.
  It is hypothesized that this would enable to input such retrieved image into
an image processing pipeline to extract information that can help improve the
examination. This information could eventually be projected back to the
sonographer's field of view in real time using, for example, an augmented
reality (AR) headset.
