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IPMI
1997
Springer
15 years 2 months ago
Automatic Detection of Sulcal Bottom Lines in MR Images of the Human Brain
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...
ICSAP
2010
15 years 1 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—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...
T. Logeswari, M. Karnan
BILDMED
2004
204views Algorithms» more  BILDMED 2004»
14 years 11 months ago
Topologically Correct Extraction of the Cortical Surface of a Brain Using Level-Set Methods
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 ...
Stephan Bischoff, Leif Kobbelt
PR
2006
122views more  PR 2006»
14 years 9 months ago
Integration of fuzzy spatial relations in deformable models - Application to brain MRI segmentation
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...
Olivier Colliot, Oscar Camara, Isabelle Bloch
ICIP
2003
IEEE
15 years 11 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
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...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach