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

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OCT Tissue Classification

OCT Tissue Classification

In medical collaboration with:
Stephane Carlier, Andreas Koenig and Adnan Kastrati, Deutsches Herzzentrum, Munich

Scientific Director: Nassir Navab

Contact Person(s): Sailesh Conjeti, Amin Katouzian ,

Keywords: Segmentation, Medical Imaging, Machine Learning for Medical Applications


Optical coherence tomography (OCT), employing light rather than ultrasound, is a high-resolution imaging technology that permits a precise assessment of biological tissue. Used intravascular, OCT is increasingly used for assessing safety and efficacy of intracoronary devices, such as drug-eluting stents and bioabsorbable stents. Obtained images provide insights regarding stent malposition, overlap, and neointimal thickening, among others. Recent OCT histopathology correlation studies have shown that OCT can be used to identify plaque composition, and hence it is possible to distinguish “normal” from “abnormal” neointimal tissue based on its visual appearance. The aim of this project is to develop a novel method for the automatic analysis of tissue in IVOCT. Automatic tissue classification will allow for a quantitative and potentially more time-efficient and objective analysis of IVOCT data. For instance, classifying neointimal tissue as either “mature” or “immature” can be used to assess the disease state of patients; as a potential predictor of late stent-failure events such as stent thrombosis and restenosis.


Contact Person(s)

Amin Katouzian
Dr. Amin Katouzian
Sailesh Conjeti
Dr. Sailesh Conjeti

Working Group

Amin Katouzian
Dr. Amin Katouzian
Debdoot Sheet
Debdoot Sheet
Nassir Navab
Prof. Dr. Nassir Navab
Sailesh Conjeti
Dr. Sailesh Conjeti


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.

Deutsches Herzzentrum München
Klinik an der Technischen Universität München
Lazarettstr. 62
80636 München

Room: 215
Tel.: +49 89 1812 3710
Visit our lab at Deutsches Herzzentrum Muenchen.

internal project page

Please contact Sailesh Conjeti, Amin Katouzian , for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 27 Sep 2013 - 13:46 - SebastianPoelsterl

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