Talk "Inverse problems in ultrasound imaging and variational networks for image reconstruction"
Event details
| Date | 30.04.2019 |
| Hour | 13:30 › 14:30 |
| Speaker | Professor Orcun Goksel from ETH Zurich, Head of Computer-assisted Applications in Medicine (CAiM) Group |
| Location | |
| Category | Conferences - Seminars |
Abstract: The talk will start with a brief overview of medical ultrasound imaging. Then, simplifications of complex wave propagation for their use in formulating inverse problems to reconstruct images of various tissue properties will be presented, in particular with the problem statements and our contributions on “beamforming" as the generation of spatially-resolved echo images from acquired multi-sensor temporal traces; “elastography" as the reconstruction 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 distributions 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 real-time ultrasound image simulation for medical training. Recent contributions on deep variational networks for USCT image reconstruction will conclude this talk.
Bio: Dr. Göksel received two BSc degrees in electrical engineering and in computer science from the Middle East Technical University, Ankara, Turkey. He received his MASc and PhD degrees in electrical and computer engineering at the University of British Columbia, Vancouver, Canada. Following postdoc and senior scientist positions, since 2014 he is an assistant professor at ETH Zurich, Switzerland. He currently leads the Computer-assisted Applications in Medicine (CAiM) Group within the Computer Vision Laboratory at the Department of Information Technology and Electrical Engineering. He is also affiliated with the ETH departments of Computer Science and Health Sciences. Dr. Göksel has received the 2017 Swiss Venture Award, 2016 ETH Spark Award, 2014 CTI Swiss MedTech Award, and 2011 Innovation in Technology Award for best dissertation in western North America.
Bio: Dr. Göksel received two BSc degrees in electrical engineering and in computer science from the Middle East Technical University, Ankara, Turkey. He received his MASc and PhD degrees in electrical and computer engineering at the University of British Columbia, Vancouver, Canada. Following postdoc and senior scientist positions, since 2014 he is an assistant professor at ETH Zurich, Switzerland. He currently leads the Computer-assisted Applications in Medicine (CAiM) Group within the Computer Vision Laboratory at the Department of Information Technology and Electrical Engineering. He is also affiliated with the ETH departments of Computer Science and Health Sciences. Dr. Göksel has received the 2017 Swiss Venture Award, 2016 ETH Spark Award, 2014 CTI Swiss MedTech Award, and 2011 Innovation in Technology Award for best dissertation in western North America.
Practical information
- Informed public
- Free
- This event is internal
Organizer
- Professor Volkan Cevher
Contact
- Gosia Baltaian