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Learning goals:
After the workshop, participants will be able to:
- Name single steps of state of the art image reconstruction in CT, MRI and PET
- Identify potential applications of AI in medical image reconstruction
- Describe pitfalls in medical image reconstruction
- Discuss potentials and current limitations of AI for medical image reconstruction in clinical practice.
- Describe cornerstones of CE marking according to the EU medical device regulation
Dates: Friday, 13th May 2022 & Saturday 14th May 2022
Location: TranslaTUM, Munich & online
Scientific program:
Friday, 13 May 2022
| 13:00 – 13:15 | Welcome & Introduction | |
| 13:15 – 14:15 | Introduction to inverse problems in medical imaging | Tobias Lasser |
| 14:15 – 15:00 | CT: Image acquisition and reconstruction | Thomas Baum |
| Break | ||
| 15:30 – 16:15 | Image acquisition and reconstruction in nuclear medicine | Stephan Nekolla |
| 16:15 – 17:00 | MRI: Image acquisition and reconstruction | Sarah Schläger |
| Break | ||
| 17:15 – 18:15 | Keynote: MR Fingerprinting | Gastao Cruz |
| 18:30 – 20:00 | Social Event @ Hofbräukeller |
Saturday, 14 May 2022
| 09:00 – 09:45 | Machine learning for MR image reconstruction | Kerstin Hammernik |
| 09:45 – 10:30 | Machine learning for MR image reconstruction – hands on | Kerstin Hammernik |
| Break | ||
| 11:00 – 11:45 | What defines image quality in medical imaging? | Jan Kirschke |
| 11:45 – 12:30 | Generative Adversarial Networks in Medical Imaging | Guang Yang |
| Break | ||
| 13:30 – 14:30 | Let’s talk about CE-labelled devices without falling asleep | Oliver Eidel |
| 14:30 – 15:00 | Discussion / Q&A |