This paper describes a.n automatic procedure for extracting sulcal bottom lines from MR (magnetic resonance) images of the human brain, which will serve as a tool for landmark extr...
Gabriele Lohmann, Frithjof Kruggel, D. Yves von Cr...
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
In this paper we present a level-set framework for accurate and efficient extraction of the surface of a brain from MRI data. To prevent the so-called partial volume effect we use ...
This paper presents a general framework to integrate a new type of constraints, based on spatial relations, in deformable models. In the proposed approach, spatial relations are r...
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...