DaMRVH

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

Non Invasive Histology of Atherosclerotic Plaque

Thesis by:
Advisor: Nassir Navab
Supervision by: Olivier Pauly In cooperation with: Neuro-Kopf-Zentrum, Klinikum Rechts der Isar, Technische Universität München

Abstract

Stroke is the third leading cause of death in Germany. It is a neurology injury, whereby the oxygen supply to parts of the brain gets cut off. About 80% of these strokes are due to ischemia, i.e. an occlusion of a blood vessel leading to an interrupted blood flow. Stenosis inside the carotid artery imaged using four different MR weightings Special setting in this project is the arteria carotis. Plaque is most likely to develop at the branching of the arteria carotis communis into the arteria carotis interna (leading to the brain) and the arteria carotis externa. This can lead to an abnormal narrowing, called a stenosis.

According to the American Heart Association these plaques can be divided into different types, based on their consistency and structure. Until now the decision about a surgery was only based on the degree of the stenosis and not on the type of plaque causing it. This is a faulty approach since there is a plaque type (Type IV) which constitutes a relevant clinical danger, although it does not necessary come along with a stenosis. Unlike most other image modalities MR images do not only give information about the degree of the stenosis, but also about the consistency of the plaque.

Using different weighted MR images it is possible to correctly classify plaque into the types defined by the AHA. The main goal of this project is to create a classification tool based on T1, T2, Proton Density and 'Time of flight' weighted images. To achieve this goal the arteria carotis and the plaque have to be segmented from the images. Furthermore various features of the plaque have to be extracted in order to get information needed for the classification.

Goal

The goal of this Diplomarbeit is to define and evaluate several features extraction methods based on multiple images.

Your benefits:

  • work on an interdisciplinary project in direct contact with medical partners.
  • gain experience in machine learning and classification methods

If you are interested, please contact Olivier Pauly.


ProjectForm
Title: Non Invasive Histology of Atherosclerotic Plaque
Abstract:  
Student:  
Director: Nassir Navab
Supervisor: Olivier Pauly
Type: DA/MA/BA
Area:  
Status: finished
Start:  
Finish:  
Thesis (optional):  


Edit | Attach | Refresh | Diffs | More | Revision r1.9 - 15 Dec 2010 - 12:35 - OlivierPauly