Inverse Problems and Applications (IPA)
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In general, inverse problems are concerned with (1) reconstructing signals from observations and/or (2) controlling systems to a desired effect. Inverse problems occur in a variety of domains and applications, ranging from tomographic reconstruction to particle physics to machine learning. The IPA group is dedicated to identifying and solving such inverse problems with a strong focus on radiological applications:
• Tomographic reconstruction for different modalities under non-optimal conditions
• Rigid and non-rigid motion estimation and correction
• Image quality
• Blood flow analysis
• Ionizing radiation dose estimation and optimization
Projects
Ait4Surgery: Automatic Intraoperative Tracking for Workflow and Dose Monitoring in X-Ray-based Minimally Invasive Surgeries
The goal of this project is the investigation of multimodal methods for the evaluation of interventional workflows in the operation room. This topic will be researched in an international project context with partners in Germany and in Brazil (UNISINOS in Porto Alegre). Methods will be developed to analyze the processes in an OR based on signals from body-worn sensors, cameras and other modalities like X-ray images recorded during the surgeries. For data analysis, techniques from the field of…
SmartCT: SmartCT - Erforschung und Entwicklung von Methoden der Künstlichen Intelligenz für ein autonomes Roboter-CT System zur 3D-Digitalisierung beliebiger Objekte
In Vorhaben SmartCT sollen KI-Methoden entwickelt und angewendet werden, die Roboter-CT Systemen ermöglicht, selbstständig, also autonom, die äußeren und inneren Strukturen beliebiger Objekte zu digitalisieren. Diese so erzeugten Daten stellen die Basis von neuartigen, innovativen und datengetriebenen Geschäftsmodellen in vielen Bereichen wie Produktentwicklung, Produktion, Handel, Instandhaltung, Sicherheit und Recycling dar.
Roboter-CT Systeme können beliebige Objekte (Fahrzeugkomponenten, Flugz…
KI4D4E: An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
Synchrotron tomography, using brilliant X-rays, allows for high-resolution, artifact-free imaging. Unlike traditional lab CT, this technique can also conduct rapid 4D tomography experiments, leading to vast amounts of data. The KI4D4E project aims to develop AI methods to process these large data sets. The focus is on artifact reduction, segmentation, and visualization of large 4D data sets. The methods are intended to be applicable to data from both photon and neutron sources.
RTG 1773: Heterogeneous Image Systems, Project C1
IMQSDL: Improving multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information
Participating Scientists
Alexander Jung, M. Sc.
- Phone number: +49 9131 85-27775
- Email: alexander.jung@fau.de
- Website: https://lme.tf.fau.de/person/jung/
Chengze Ye, M. Sc.
- Phone number: +49 9131 85-27775
- Email: chengze.ye@fau.de
- Website: https://lme.tf.fau.de/person/chye
Daniel Mosig, M. Sc.
- Phone number: +49 9131 85-25247
- Email: daniel.mosig@fau.de
- Website: https://lme.tf.fau.de/person/damosig/
Fuxin Fan, M. Sc.
- Phone number: +49 9131 85-27894
- Email: fuxin.fan@fau.de
- Website: https://lme.tf.fau.de/person/fan/
Manuela Meier, M. Sc.
- Phone number: +49 9131 85-27891
- Email: manuela.meier@fau.de
- Website: https://lme.tf.fau.de/person/magoldmann/
Mareike Thies, M. Sc.
- Phone number: +49 9131 85-25247
- Email: mareike.thies@fau.de
- Website: https://lme.tf.fau.de/person/thies/
Merlin Nau, M. Sc.
- Phone number: +49 9131 85-28982
- Email: merlin.nau@fau.de
- Website: https://lme.tf.fau.de/person/nau/
Noah Maul, M. Sc.
- Phone number: +49 9131 85-25246
- Email: noah.maul@fau.de
- Website: https://lme.tf.fau.de/person/maul/
Siyuan Mei, M. Sc.
- Phone number: +49 9131 85-27873
- Email: siyuan.mei@fau.de
- Website: https://lme.tf.fau.de/person/simei/
Timo Klemm, M. Sc.
- Phone number: +49 9131 85-27874
- Email: timo.klemm@fau.de
- Website: https://lme.tf.fau.de/person/klemm/
Yipeng Sun, M. Sc.
- Phone number: +49 9131 85-20281
- Email: yipeng.sun@fau.de
- Website: https://lme.tf.fau.de/person/sun/
Colloquium time table
Publications
Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography
In: Medical Physics 49 (2022), p. 5107-5120
ISSN: 0094-2405
DOI: 10.1002/mp.15718
BibTeX: Download
, , , , , , , , , , , :
Learning-based Trajectory Optimization for a Twin Robotic CT System
12th Conference on Industrial Computed Tomography (iCT) 2023 (Fürth, February 27, 2023 - March 2, 2023)
In: NDT.net Issue: 2023-03 2023
DOI: 10.58286/27748
BibTeX: Download
, , , , , :- Frank Sukowski, , Daniel Rauch, Richard Schielein, Tobias Schön, Adrian Waldyra, Mara Fries, Andreas K. Maier, Linda-Sophie Schneider, Gabriel Herl, Simon Wittl, Simon Zabler, Sebastian Zeitel, Joshua Bissels, Christoph Becker:
SmartCT - Development of AI based methods for automation of RoboCT scan procedures
In: e-Journal of Nondestructive Testing 29 (2024)
DOI: 10.58286/29232
BibTeX: Download
Next Events:
Contact
Mareike Thies, M. Sc.
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85-25247
- Email: mareike.thies@fau.de
- Website: https://lme.tf.fau.de/person/thies/