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UID:submissions.pasc-conference.org_PASC23_sess121_msa206@linklings.com
SUMMARY:E-Scopics Ultrasound SaaS: App-Based Computerized Ultrasonography 
 for Ultraportable Probes
DESCRIPTION:Minisymposium\n\nAdrien Besson (E-Scopics)\n\nAt E-Scopics, we
  aim at democratizing ultrasound imaging with a simple concept: providing 
 a minimal ultrasound probe and a host on which nearly all processings are 
 performed. The challenge of hyper-portability, the availability of massive
  amounts of raw data and the unlimited computing power enabled by our soft
 ware-based architecture has led us to deeply investigate inverse problems.
  In this presentation, I will discuss several applications ranging from AI
 -based B-Mode imaging to quantitative imaging and describe the path from r
 esearch ideas to a certified product. AI-based B-Mode imaging is performed
  in collaboration with LTS5 at EPFL where convolutional neural networks (C
 NN) are used to denoise the back projection solution obtained with few ins
 onifications. By clever choices of network architectures and rigorous trai
 ning routines, we have managed to shrink the heaviness of the CNNs in orde
 r to make them operate in real time. Inverse problems in quantitative imag
 ing are used to infer quantities related to tissue and tissue-wave interac
 tions from ultrasound raw-data. As an example, speed of sound estimation e
 xploits remarkable properties of ultrasound speckle when analyzed using a 
 fully angular point of view. These properties allow for a direct and real-
 time estimation of the local speed of sound with few insonifications.\n\nD
 omain: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSe
 ssion Chair: Matthieu Simeoni (EPFL)
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