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SUMMARY:Talk "Inverse problems in ultrasound imaging and variational netwo
 rks for image reconstruction"
DTSTART:20190430T133000
DTEND:20190430T143000
DTSTAMP:20260921T021041Z
UID:40abb79d2885934d25c68b767f7702262b5f46d4c399a141cc8a510b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor Orcun Goksel from ETH Zurich\,  Head of Computer-as
 sisted Applications in Medicine (CAiM) Group  \nAbstract: The talk will s
 tart with a brief overview of medical ultrasound imaging. Then\, simplific
 ations of complex wave propagation for their use in formulating inverse p
 roblems to reconstruct images of various tissue properties will be present
 ed\, in particular with the problem statements and our contributions on 
 “beamforming" as the generation of spatially-resolved echo images from a
 cquired multi-sensor temporal traces\; “elastography" as the reconstruct
 ion of tissue viscoelasticity maps from internal motion\; and "ultrasound
  computed tomography” (USCT) as the tomographic reconstruction of local
  sound-speed and other propagation parameters.  Estimating scattering di
 stributions in the tissue will also be demonstrated as an inverse-problem 
 of deconvolution\, with a particular use in the context of modeling tissue
 -specific scattering within ray-tracing based approximations aiming at rea
 l-time ultrasound image simulation for medical training.  Recent contribu
 tions on deep variational networks for USCT image reconstruction will conc
 lude this talk.\n\nBio: Dr. Göksel received two BSc degrees in electrical
  engineering and in computer science from the Middle East Technical Univer
 sity\, Ankara\, Turkey. He received his MASc and PhD degrees in electrical
  and computer engineering at the University of British Columbia\, Vancouve
 r\, Canada. Following postdoc and senior scientist positions\, since 2014 
 he is an assistant professor at ETH Zurich\, Switzerland.  He currently l
 eads the Computer-assisted Applications in Medicine (CAiM) Group within th
 e Computer Vision Laboratory at the Department of Information Technology a
 nd Electrical Engineering.  He is also affiliated with the ETH department
 s of Computer Science and Health Sciences. Dr. Göksel has received the 20
 17 Swiss Venture Award\, 2016 ETH Spark Award\, 2014 CTI Swiss MedTech Awa
 rd\, and 2011 Innovation in Technology Award for best dissertation in west
 ern North America.
LOCATION:ELD 120 https://plan.epfl.ch/?room=ELD120
STATUS:CONFIRMED
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