6 search results - page 1 / 2 » Automatic Detection of Sulcal Bottom Lines in MR Images of t... |
IPMI
1997
Springer
13 years 9 months ago
1997
Springer
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...
MICCAI
2001
Springer
13 years 9 months ago
2001
Springer
In this article we merge point feature and intensity-based registration in a single algorithm to tackle the problem of multiple brain registration. Because of the high variability ...
IPMI
2005
Springer
14 years 5 months ago
2005
Springer
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
MICCAI
2003
Springer
14 years 5 months ago
2003
Springer
Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm u...