STIMULATE - Solution Centre for Image Guided Local Therapies

Research Portfolio

Oncology: Clinical Integration
interventional MR imaging
MR tools
Neurology: Clinical Integration
C-arm Imaging
Tools, Hemodynamics
Brain-Machine Interfaces
Application-spanning: Robotics
Image Processing and Visualization
Therapy Planning and Navigation
Transfer, Services, Intellectual Property Rights

Key personel

Selected publications

  1. Berg, P., Janiga, G., Thévenin, D., Beuing, O., Neugebauer, M., 2013a. Hemodynamics in Multiple Intracranial Aneurysms: The Role of Shear Related to Rupture. International Journal of Bioscience, Biochemistry and Bioinformatics 3, 177–181. doi:10.7763/IJBBB.2013.V3.191
  2. Berg, P., Stucht, D., Janiga, G., Beuing, O., Speck, O., Thévenin, D., 2013b. Cerebral Blood Flow in a Healthy Circle of Willis and Two Intracranial Aneurysms: Computational Fluid Dynamics Versus 4D Phase-Contrast Magnetic Resonance Imaging. J Biomech Eng.
  3. Beuing, O., Boese, A., Kyriakou, Y., Deuerling-Zengh, Y., Jollenbeck, B., Scherlach, C., Lenz, A., Serowy, S., Gugel, S., Rose, G., Skalej, M., 2014. A Novel Technique for the Measurement of CBF and CBV with Robot-Arm-Mounted Flat Panel CT in a Large-Animal Model. AJNR. American journal of neuroradiology. doi:10.3174/ajnr.A3973
  4. Bordás, R., Seshadhri, S., Janiga, G., Skalej, M., Thévenin, D., 2012. Experimental validation of numerical simulations on a cerebral aneurysm phantom model. Interventional Medicine and Applied Science 4, 193–205. doi:10.1556/IMAS.4.2012.4.4
  5. Cito, S., Geers, A.J., Arroyo, M.P., Palero, V.R., Pallarés, J., Vernet, A., Blasco, J., San Román, L., Fu, W., Qiao, A., Janiga, G., Miura, Y., Ohta, M., Mendina, M., Usera, G., Frangi, A.F., 2015. Accuracy and Reproducibility of Patient-Specific Hemodynamic Models of Stented Intracranial Aneurysms: Report on the Virtual Intracranial Stenting Challenge 2011. Annals of Biomedical Engineering 43, 154–167. doi:10.1007/s10439-014-1082-9
  6. Glasser, S., Lawonn, K., Preim, B., Hoffmann, T., Skalej, M., 2014. Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms. Visualization and Computer Graphics, IEEE Transactions on (Volume:20 , Issue: 12 ) 2506-2515, 2506–2515. doi:http://doi.ieeecomputersociety.org/10.1109/TVCG.2014.2346406
  7. Hoffmann, T., Glaßer, S., Boese, A., Brandstädter, K., Kalinski, T., Beuing, O., Skalej, M., 2015. Experimental investigation of intravascular OCT for imaging of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery 1–11. doi:10.1007/s11548-015-1275-1
  8. Janiga, G., Berg, P., Sugiyama, S., Kono, K., Steinman, D., 2015. The computational fluid dynamics rupture challenge 2013-phase I: prediction of rupture status in intracranial aneurysms. American Journal of Neuroradiology 36, 530–536. doi:10.3174/ajnr.a4157
  9. Janiga, G., Rössl, C., Skalej, M., Thévenin, D., 2013. Realistic virtual intracranial stenting and computational fluid dynamics for treatment analysis. Journal of Biomechanics 46, 7 – 12. doi:http://dx.doi.org/10.1016/j.jbiomech.2012.08.047
  10. Li, M., Bien, T., Rose, G., 2014. Construction of a conductive distortion reduced electromagnetic tracking system for computer assisted image-guided interventions. Medical Engineering and Physics Volume 36, Issue 10, 1496–1501. doi:10.1016/j.medengphy.2014.07.018
  11. Li, M., Bien, T., Rose, G., 2013. FPGA based electromagnetic tracking system for fast catheter navigation. International Journal of Scientific & Engineering Research 4, 2566–2570.
  12. Neugebauer, M., Gasteiger, R., Janiga, G., Beuing, O., Preim, B., n.d. Effective Visual Exploration of Hemodynamics in Cerebral Aneurysms. doi:http://dx.doi.org/10.2312/conf/EG2013/med/005-008
  13. Van Pelt, R., Gasteiger, R., Lawonn, K., Meuschke, M., Preim, B., 2014. Comparative Blood Flow Visualization for Cerebral Aneurysm Treatment Assessment. Computer Graphics Forum Vol. 33, Issue 3, 133–140.
  14. Wissel, T., Pfeiffer, T., Frysch, R., Knight, R.T., Chang, E.F., Hinrichs, H., Rieger, J.W., Rose, G., 2013. Hidden Markov model and support vector machine based decoding of finger movements using electrocorticography. Journal of Neural Engineering 10, 056020. doi:doi: 10.1088/1741-2560/10/5/056020

Contact

Prof. Dr. Georg Rose
Speaker Forschungscampus STIMULATE
Otto-von-Guericke-Universität
Magdeburg Forschungscampus STIMULATE
Experimentelle Fabrik
Sandtorstraße 23
39106 Magdeburg
Tel.: 0391 67-18862
Fax: 0391 67-11230
E-Mail: rose@forschungscampus-stimulate.de
www.forschungscampus-stimulate.de
www.stimulate-verein.de