| Time: | October 15, 2022 |
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Program (more Details in the next weeks)
9:00 Prof. Dr.-Ing. Oliver Sawodny, Speaker of the RTG 2543; University of Stuttgart; Institute of System Dynamics
Welcome
9:20 Prof. Dr. Ute Neugebauer; University of Jena, Germany; Institute of Physical Chemistry, Clinical Spectroscopic Diagnosis
Concepts for Intraoperative Localization and Tissue Differentiation:
The intraoperative information gain is embedded in a higher-level pre- and post-operative learning loop that is intended to continuously improve the reliability of the conclusion. In order to exploit the information content of multiple sensor channels, sensor measurements must be provided with consistent local information. Finally, data-driven methods can be used to realize multisensor data fusion for intraoperative tissue differentiation. In this talk, concepts for intraoperative localization of sensor measurements, as well as data-driven classification concepts will be presented. A focus will also be placed on the efficient use of data to include existing labeled databases in addition to acquired data from partnering projects.
This contribution will present the potential of label-free Raman imaging to precisely localize and characterize intracellular pathogens directly inside intact host cells. Quantitative information about the metabolic phenotype can be extracted from 3D false color Raman images without any additional labelling technique and reveal important information on the life cycle of intracellular pathogens. Exemplarily, this will be shown for the obligate intracellular pathogen Coxiella burnetii, the active agent of the Q-fever, as well as for the facultative intracellular pathogen Staphylococcus aureus.
S. aureus is also one of the most frequent causes of sepsis and is involved in difficult-to-treat invasive tissue infections, such as osteomyelitis. Here, it will be presented how fluorescence and Raman imaging can be utilized to gain information of pathogen localization in tissue slices from a chronic osteomyelitis mouse model.
10:05 Presentation of the Research Focus A: Sensordevelopment
Valese Aslani1, Felix Fischer1, Lucas Becker2, Paul Kalwa3, Carina Veil4
1 Institute of Applied Optics, University of Stuttgart, 70569 Stuttgart, Germany
2 Institute for System Dynamics, University of Stuttgart, 70563 Stuttgart, Germany
3 Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering,
University of Tübingen, 72076 Tübingen, Germany
4 Institute of Applied Physics, University of Tübingen, Pfaffenwaldring 9, 72076 Tübingen
Sensor Concepts for Tissue Discrimination of Urological Specimens
Multiple institutes from the universities of Tübingen and Stuttgart with different core competencies joined forces to tackle the same problem of tissue differentiation. Within the last 2.5 years, five sensor concepts emerged from the fields of elastomechanics, optics, and electrodynamics. The two proposed mechanical sensors imitate palpational examinations by physicians and translate structural changes into digital information. The other three concepts deal with spectral changes in optical and electrical properties. All five sensors are validated using urological specimens of tumor and urothelia provided by the university hospital in Tübingen. In the long run, the concepts should support and complement each other to provide the best possible predictions for the examined tissue.
10:35 Coffee-Break, Poster Presentation of the RTG 2543
10:50 Prof. Dr. Hans Kreipe; MHH Hannover; Germany, Institute for Pathology
11:35 Presentation of the Research Focus B: Modeling & Classification
Johannes Schüle1, Simon Holdenried-Krafft2, Peter Somers1
1 Institute for System Dynamics, University of Stuttgart, 70563 Stuttgart, Germany
2 Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany
Concepts for Intraoperative Localization and Tissue Differentiation:
The intraoperative information gain is embedded in a higher-level pre- and post-operative learning loop that is intended to continuously improve the reliability of the conclusion. In order to exploit the information content of multiple sensor channels, sensor measurements must be provided with consistent local information. Finally, data-driven methods can be used to realize multisensor data fusion for intraoperative tissue differentiation. In this talk, concepts for intraoperative localization of sensor measurements, as well as data-driven classification concepts will be presented. A focus will also be placed on the efficient use of data to include existing labeled databases in addition to acquired data from partnering projects.
12:05 Prof. Dr.-Ing. Ulrike Thomas; University of Technology Chemnitz; Germany, Robotics and Human-Machine-Interaction Lab
12:50 Lunch Break, Poster Presentation of the RTG 2543
14:00 Assistant-Prof. Dr. Ulrike Fleck, Center for Biomedical and Healthcare Engineering, Saint-Etienne, France
14:45 Presentation of the Research Focus C: Surgery and Pathology
C1: Dr. Simon Walz
Transkriptome-Analysis of Bladder tumor organoids
C2: Dr. Lea Volmer
C3: Dr. Massimo Granai/ Dr. Yvonne Montes
Development of a multiparametric tissue classification for tumors using histology as the gold standard.
15:15 Coffee-Break, Poster Presentation of the RTG 2543
15:30 Prof. Dr. Andreas Kolb; University of Siegen, Germany, Lehrstuhl für Computergrafik
Interactive Scene Reconstruction – Fundamentals and New Trends:
The advent of affordable consumer grade RGB‐D cameras has brought about a profound advancement of visual scene reconstruction methods. Both computer graphics and computer vision researchers spend significant effort to develop entirely new algorithms to capture comprehensive shape and appearance of models. Still, there is no overall optimum regarding performance along relevant dimensions, being it high reconstruction quality or real‐time performance on commodity hardware.
The first part of this talk will give an overview of fundamental approaches, data structures and techniques applied in the field of interactive scene reconstruction and common challenges under research in this field. In the second part new trends in approaching the challenges of interactive scene reconstruction are discussed.
16:15 Prof. Dr.-med. Arnulf Stenzl, Deputy-Speaker of the RTG 2543; Eberhard-Karls-University Tübingen, University Hospital, Department of Urology, Germany
Summary
16:30 End of Symposium