Intraoperative model based identification of tissue properties from multimodal and multiscale data

Coordinator Dipl.-Ing. Philipp Wittmüß
Dipl.-Ing. Tanja Teutsch

 

Project status Completed since December 2015.

 

Description

In minimal invasive surgery, it is crucial that the surgeon can interpret the images from the endoscope correctly. A major unresolved issue in modern endoscopy is the precise differentiation of tissue type and state during the intervention in real-time.

The approach taken in this project uses the different mechanical properties of different tissue types for distinguishing between malign and benign parts of the tissue. The image data from the distal camera and spectroscopic data is merged with multimodal data from other mechanical sensors. This makes it possible to estimate the viscoelastic and elastoplastic tissue parameters based on a constitutive model. The segmentation of the tissue can be performed using the identified parameters (see figure 1).

Figure 1: Segment-wise parameter identification of a silicone phantom with induration in the middle (Vöhringer, 2015).

Partners

           

Publications
Conference Proceedings
  • D. Claus, P. M. Schumacher, T. Labitzke, M. Mlikota, U. Weber, S. Schmauder, N. Schierbaum, T. E. Schäffer, P. Wittmuess, T. Teutsch, C. Tarín, S. Hoffmann, F. A. Taran, S. Brucker, J. Mischinger, A. Stenzel & W. Osten, “Intraoperative model based identification of tissue properties using a multimodal and multiscale elastographic measurement approach”, Proceedings of SPIE, 2015, pp. 95400M-1-95400M-6, doi:10.1117/12.2183876
  • D. Claus, P. M. Schumacher, M. Wilke, M. Mlikota, U. Weber, S. Schmauder, N. Schierbaum, T. E. Schäffer, P. Wittmuess, T. Teutsch, C. Tarín, S. Hoffmann, S. Brucker, J. Mischinger, C. Schwentner, A. Stenzl & W. Osten, “Intraoperative model based identification of tissue properties based on multimodal and multiscale measurements”, Proceedings of SPIE, 2015, pp. 932805-1-932805-5, doi:10.1117/12.2076831
  • F. Schlagenhauf, P. Wittmuess, C. Tarin, T. Teutsch & O. Sawodny, “Stiffness gradient detection for tissue discrimination based on identification of mass-spring-damper models”, IEEE Conference on Control Applications (CCA), Sydney, NSW, Australia, 2015, pp. 1057-1062, doi:10.1109/CCA.2015.7320752

Student Theses
  • H. Vöhringer, "Model-Based Parameter Identification of Non-Equally Distributed Stiffness by Using a Volume-Stiffness-Model", student thesis, 2015
  • F. Schlagenhauf, "Viscoelastic Modelling and Dynamic Analysis of Soft Tissue using Mass Spring Damper Systems", bachelor thesis, 2014
Funding

The project is part of the „Industry on Campus“-program of the IZST (Inter-University Center for Medical Technologies Stuttgart-Tuebingen). It is funded by the participating universities, the industrial partner Aesculap AG as well as the state of Baden-Wuerttemberg.