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SEDE
2008
13 years 6 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
MICCAI
2007
Springer
14 years 5 months ago
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes
We present a fully automatic segmentation algorithm for the whole heart (four chambers, left ventricular myocardium and trunks of the aorta, the pulmonary artery and the pulmonary ...
Jochen Peters, Olivier Ecabert, Carsten Meyer, Hau...
BIBM
2009
IEEE
190views Bioinformatics» more  BIBM 2009»
13 years 2 months ago
A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
Kevin Karsch, Qing He, Ye Duan
CEC
2007
IEEE
13 years 11 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
MICCAI
2006
Springer
14 years 5 months ago
Patient Position Detection for SAR Optimization in Magnetic Resonance Imaging
Although magnetic resonance imaging is considered to be non-invasive, there is at least one effect on the patient which has to be monitored: The heating which is generated by absor...
Andreas Keil, Christian Wachinger, Gerhard Brinker...