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  4. Inverse Problems and Applications (IPA)

Inverse Problems and Applications (IPA)

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  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users

Inverse Problems and Applications (IPA)

IPA group photo July 2024
IPA group photo April 2024

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

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…

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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…

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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.

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RTG 1773: Heterogeneous Image Systems, Project C1

Motion Correction for Weight-Bearing C-arm CT of Knees

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IMQSDL: Improving multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information

This project is about improving image quality in certain SPECT applications.

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Participating Scientists

Alexander Jung

Alexander Jung, M. Sc.

  • Phone number: +49 9131 85-27775
  • Email: alexander.jung@fau.de
  • Website: https://lme.tf.fau.de/person/jung/
More › Details for Alexander Jung
Chengze Ye

Chengze Ye, M. Sc.

  • Phone number: +49 9131 85-25246
  • Email: chengze.ye@fau.de
  • Website: https://lme.tf.fau.de/person/chye
More › Details for Chengze Ye
Daniel Mosig

Daniel Mosig, M. Sc.

  • Phone number: +49 9131 85-25247
  • Email: daniel.mosig@fau.de
  • Website: https://lme.tf.fau.de/person/damosig/
More › Details for Daniel Mosig
Farid Tasharofi

Farid Tasharofi, M. Sc.

  • Phone number: +49 9131 85-27872
  • Email: farid.tasharofi@fau.de
  • Website: https://lme.tf.fau.de/person/fatasharofi
  • LinkedIn: Page of Farid Tasharofi
  • Google Scholar: Page of Farid Tasharofi
More › Details for Farid Tasharofi
Florian Goldmann

Florian Goldmann

  • Email: florian.goldmann@fau.de
  • Website: https://lme.tf.fau.de/person/goldmann/
  • GitHub: Page of Florian Goldmann
  • Google Scholar: Page of Florian Goldmann
  • ORCID: Page of Florian Goldmann
More › Details for Florian Goldmann
Fuxin Fan

Fuxin Fan, M. Sc.

  • Phone number: +49 9131 85-27894
  • Email: fuxin.fan@fau.de
  • Website: https://lme.tf.fau.de/person/fan/
More › Details for Fuxin Fan
Joshua Scheuplein

Joshua Scheuplein, M.Sc.

  • Phone number: +49 9131 85-25246
  • Email: joshua.scheuplein@fau.de
  • Website: https://lme.tf.fau.de/person/joscheuplein/
  • LinkedIn: Page of Joshua Scheuplein
  • ORCID: Page of Joshua Scheuplein
More › Details for Joshua Scheuplein
Linda-Sophie Schneider

Linda-Sophie Schneider, M. Sc.

  • Phone number: +49 9131 85-28982
  • Email: linda-sophie.schneider@fau.de
  • Website: https://lme.tf.fau.de/person/lsschneider/
More › Details for Linda-Sophie Schneider
Manuela Goldmann

Manuela Goldmann, M. Sc.

  • Phone number: +4991318527891
  • Email: manuela.goldmann@fau.de
  • Website: https://lme.tf.fau.de/person/magoldmann/
  • LinkedIn: Page of Manuela Goldmann
  • Google Scholar: Page of Manuela Goldmann
  • ORCID: Page of Manuela Goldmann
More › Details for Manuela Goldmann
Maximilian Reymann

Maximilian Reymann, M. Sc.

  • Phone number: +49 9131 85-28982
  • Email: maximilian.reymann@fau.de
  • Website: https://lme.tf.fau.de/person/reymann/
More › Details for Maximilian Reymann
Maximilian Rohleder

Maximilian Rohleder, M. Sc.

  • Phone number: +49 9131 85-25246
  • Email: maxi.rohleder@fau.de
  • Website: https://lme.tf.fau.de/person/rohleder/
  • Twitter: Page of Maximilian Rohleder
  • LinkedIn: Page of Maximilian Rohleder
  • GitHub: Page of Maximilian Rohleder
More › Details for Maximilian Rohleder
Merlin Nau

Merlin Nau, M. Sc.

  • Phone number: +49 9131 85-28982
  • Email: merlin.nau@fau.de
  • Website: https://lme.tf.fau.de/person/nau/
  • LinkedIn: Page of Merlin Nau
  • GitHub: Page of Merlin Nau
More › Details for Merlin Nau
Nastassia Vysotskaya

Nastassia Vysotskaya

  • Phone number: +49 9131 85-25246
  • Email: nastassia.vysotskaya@fau.de
  • LinkedIn: Page of Nastassia Vysotskaya
  • GitHub: Page of Nastassia Vysotskaya
  • Google Scholar: Page of Nastassia Vysotskaya
  • ORCID: Page of Nastassia Vysotskaya
  • Research Gate: Page of Nastassia Vysotskaya
More › Details for Nastassia Vysotskaya
Noah Maul

Noah Maul, M. Sc.

  • Phone number: +49 9131 85-25246
  • Email: noah.maul@fau.de
  • Website: https://lme.tf.fau.de/person/maul/
More › Details for Noah Maul
SeyedMohammad Jafari

SeyedMohammad Jafari, M. Sc.

  • Phone number: +49 9131 85-27874
  • Email: seyedmohammad.jafari@fau.de
  • Website: https://lme.tf.fau.de/person/jafari/
More › Details for SeyedMohammad Jafari
Siyuan Mei

Siyuan Mei, M. Sc.

  • Phone number: +49 9131 85-27873
  • Email: siyuan.mei@fau.de
  • Website: https://lme.tf.fau.de/person/simei/
More › Details for Siyuan Mei
Timo Klemm

Timo Klemm, M. Sc.

  • Phone number: +49 9131 85-27874
  • Email: timo.klemm@fau.de
  • Website: https://lme.tf.fau.de/person/klemm/
More › Details for Timo Klemm
Yipeng Sun

Yipeng Sun, M. Sc.

  • Phone number: +49 9131 85-20281
  • Email: yipeng.sun@fau.de
  • Website: https://lme.tf.fau.de/person/sun/
  • LinkedIn: Page of Yipeng Sun
  • GitHub: Page of Yipeng Sun
  • Google Scholar: Page of Yipeng Sun
  • ORCID: Page of Yipeng Sun
More › Details for Yipeng Sun

Next Events:

09 May
12:30 pm - 1:30 pm

IPA Group Colloquium

Friday, Conference Room 09.150
EVENT DETAIL
No event found!


Contact

Manuela Goldmann

Manuela Goldmann, M. Sc.

Researcher
Martensstr. 3
91058 Erlangen
  • Phone number: +4991318527891
  • Email: manuela.goldmann@fau.de
  • Website: https://lme.tf.fau.de/person/magoldmann/
  • LinkedIn: Page of Manuela Goldmann
  • Google Scholar: Page of Manuela Goldmann
  • ORCID: Page of Manuela Goldmann
More › Details for Manuela Goldmann

Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Mustererkennung (Informatik 5)

Martensstr. 3
91058 Erlangen
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