SilvanKraft

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Dipl.-Ing. Silvan Kraft

silvan.kraft@tum.de

Klinikum rechts der Isar der Technischen Universität München
Institut für Röntgendiagnostik
Ismaninger Straße 22
81675 München

Raum MI 03.013.039
Telefon CAMPAR: +49 (89) 289-19441
Telefon Klinikum rechts der Isar: +49 (89) 4140-4428

Research Interests

  • Ultrasound Simulations
  • Intravascular US Imaging & Tissue Characterization
  • Ultrasound Computer Tomography
  • Navigated & US-Guided Interventional Imaging

Active research projects

patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

Intravascular Ultrasound Simulation from Histology

Intravascular Ultrasound Simulation from Histology

We introduce a framework to simulate intravascular ultrasound (IVUS) from histological sections. These sections were previously acquired along with real IVUS radiofrequency signals using single-element 40MHz transducer. After labeling and registering the section to the corresponding IVUS image, a virtual phantom was created, incorporating nuclei scatterer patterns. A finite differences simulation of the acoustic signal was performed, resulting in backscattered radiofrequency signals. These were used to process a B-mode image, which in turn was compared to the real IVUS image of the same section. A high image quality with a very promising correlation to the original IVUS images was achieved.

Student projects

We continuously create new topics for student projects or bachelor- and master-theses.
Feel free to contact me, if you are interested in one of the topics seen here, like Ultrasound Imaging or Numeric Simulations.

Links

RF2B - Matlab Tool for Ultrasound Postprocessing

Publications

2013
S. Kraft, A. Karamalis, D. Sheet, E. Drecoll, E. Rummeny, N. Navab, P. B. Noël, A. Katouzian
Introducing nuclei scatterer patterns into histology-based intravascular ultrasound simulation framework
To appear in: SPIE Medical Imaging 2013 (bib)
D. Sheet, A. Karamalis, S. Kraft, P. B. Noël, T. Vag, A. Sadhu, A. Katouzian, N. Navab, J. Chatterjee, A. K. Ray
Random Forest learning of ultrasonic statistical physics and object spaces for lesion detection in 2D sonomammography
To appear in: SPIE Medical Imaging 2013 (bib)

For complete list on former research see GoogleCitations


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Title: Dipl.-Ing. Univ.
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Telephone: +49 89 289 19441
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Edit | Attach | Refresh | Diffs | More | Revision r1.21 - 13 Mar 2013 - 17:41 - SilvanKraft

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