ProjectShapeGuidedSegmentation

Shape Guided Segmentation of Cardiac Boundaries In medical collaboration with: German Heart Center Contact Person(s): Abouzar Eslami

Keywords: Registration / Visualization, Segmentation, Machine Learning for Medical Applications

Abstract

Prior shape information has been shown to be invaluable for segmenting cardiac boundaries. We develop new methods of exploiting such prior information to guide the segmentation by using techniques of machine learning or formulating the segmentation problem to fit our requirements in segmentation of 4D cardiac data.

Team

Contact Person(s)

Dr. Abouzar Eslami

Working Group

Dr. Abouzar Eslami

Prof. Dr. Nassir Navab

Location

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.



internal project page

Please contact Abouzar Eslami for available student projects within this research project.