Workshop - Compressed Sensing and Photoacoustic Tomography

Juli1-3, 2019 - Innsbruck

Reducing the number of measurements while preserving high contrast and improving spatial and temporal resolution is one of central aims in photoacoustic tomography and other imaging applications. Compressed sensing techniques allow to significantly reduce the amount of data to be acquired and thereby accelerates data acquisition, reduces motion artefacts, and lowers radiation exposure. In compressed sensing, iterative algorithms based on prior information have been applied for image reconstruction. Recently, a new class of algorithms based on machine learning, especially deep learning, for compressed sensing and other image reconstruction tasks appeared. This workshop covers various aspects from compressed sensing and machine learning applied to photoacoustic imaging and beyond. 

Organizers:

• Markus Haltmeier
• Rebecca Zjerfeld
• Gernot Baumgartner

Information:

• Maximum 20 participants.
• Location: Hotel Innsbruck, Innrain 3, 6020-Innsbruck AUSTRIA.

Sponsor:

Plenary Speakers

• Burgholzer, Peter (RECENDT Linz, Austria)
• Deán-Ben, Xosé Luís (University of Zürich, Switzerland)
• Nuster, Robert (University of Graz, Austria)

List of confirmed speakers

1. Angermann Christoph
2. Antholzer Stephan
3. Burgholzer Peter
4. Deán-Ben Xosé Luís
5. Dreier Florian
6. Obmann Daniel
7. Felbermayer Karoline
8. Haltmeier Markus
9. Kowar Richard:
10. Nuster Robert
11. Rabanser Simon
12. Rankl Christian
13. Schwab Johannes
14. Torke Paul
15. Zangerl Gerhard

Schedule