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

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Intravascular Ultrasound Simulation from Histology

Intravascular Ultrasound Simulation from Histology

In medical collaboration with:
Department of Radiology - Klinikum Rechts der Isar

Scientific Director: Prof. Dr. Nassir Navab

Contact Person(s): Silvan Kraft

Keywords: Medical Imaging, Ultrasound, IFL


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.


Figure 1: Numeric framework for simulating the propagation of ultrasound through tissue
Figure 2: Comparison of the real intravascular Ultrasound B-mode image to a simulated image

Clinical Relevance

Over 8 millions people die from strokes or cardiac diseases each year. Over half of these are caused by atherosclerosis. Intravascular Ultrasound (IVUS) is an excellent tool for diagnosing atherosclerosis, as stenosis and calcified tissues are clearly visible. However critical structures as vulnerable plaques are hard to identify with conventional means. Simulating IVUS and developing acoustic models for relevant tissue types will help in a better understanding of the physical processes within tissues and their interaction with acoustic waves. These will eventually lead to improved tissue characterization methods.


Contact Person(s)

Silvan Kraft
Dipl.-Ing. Univ. Silvan Kraft

Working Group

Amin Katouzian
Dr. Amin Katouzian
Athanasios Karamalis
Dr. Athanasios Karamalis
Christoph Hennersperger
Dr. Christoph Hennersperger
Debdoot Sheet
Debdoot Sheet
Peter Noel
Dr. Peter Noel


Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.

Klinikum rechts der Isar
der Technischen Universitüt München
Ismaninger Str. 22
81675 München

IFL Lab - Room: 01.3a-c
Tel.: +49 89 4140-6457
Fax: +49 89 4140-6458
Visit our lab at Klinikum rechts der Isar.

internal project page

Please contact Silvan Kraft for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 28 Feb 2013 - 14:17 - SilvanKraft

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