Bringing topological constraints into atlas-based medical image segmentation
Atlas-based segmentation techniques are often employed to encode anatomical information for the delineation of multiple structures in magnetic resonance images of the brain.

One of the primary challenges of these approaches is to efficiently model qualitative and quantitative anatomical knowledge without introducing a strong bias toward certain anatomical preferences when segmenting new images. Topology can be used to describe the continuity of structures, as well as the relationships between structures, and is often a critical component in cortical surface reconstruction and deformation-based morphometry. I will present methods to incorporate topological atlas information into atlas-based algorithms for the segmentation of brain structures in MRI.
Lecturer:
Pierre-Louis Bazin (Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig)
Dates:
Friday, 18.11.2011, Geb?ude 29-Raum 335
Additional Information:
> Lecture website <
Recent news:
19.04.2017

Research Seminar Announcement

In the course of the Visual Computing research seminar Dr. Evgeny Gladilin from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben will give a talk with subsequent discussion about the topic Aufgaben der Bildanalyse in quantitativer Pflanzenforschung.

We would like to invite everyone interested to join us. The research seminar will take place in on Friday 21.04.2017, 13:00 c.t. in G29-R335.

To the overview…