The “Inverse Problems and Applications” (IPA) research group addresses the challenge of inverse problems, essential for reconstructing signals from observations and controlling systems to achieve desired outcomes. The group’s research focuses on advancing clinical imaging through innovative approaches to inverse problems.
Key research areas include:
Tomographic Reconstruction: Developing techniques for various imaging modalities such as cone-beam CT, photon counting CT, robotic CT, PET, SPECT, and OCT, even under suboptimal conditions, to enhance diagnostic accuracy and reliability.
Image Quality: Enhancing the clarity and detail of medical images, promoting better diagnostic and treatment planning capabilities.
Blood Flow Analysis: Predicting and analyzing vascular dynamics to aid in the understanding and treatment of circulatory conditions.
Motion Estimation and Correction: Implementing solutions for both rigid and non-rigid motion, ensuring precise imaging despite patient movement.
Projects
Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)
Project leader: ,
Prof. Dr.-Ing. Andreas Maier
Head
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Linda-Sophie Schneider
Research associates
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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…
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Project leader: ,
Prof. Dr.-Ing. Andreas Maier
Head
Contact
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…
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Project leader: ,
Prof. Dr.-Ing. Andreas Maier
Head
Contact
Yipeng Sun
Research associates
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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.
Funding source: DFG / Graduiertenkolleg (GRK)
Project leader:
Prof. Dr.-Ing. Andreas Maier
Head
Contact
Motion Correction for Weight-Bearing C-arm CT of Knees
Project leader:
This project is about improving image quality in certain SPECT applications.
Next Events
Estimation of Patient and Mobile C-Arm Orientation in Intraoperative CBCT Imaging – MT Final Talk by Anne Leipertz
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Relations to other fields of research