DocumentCode :
1743385
Title :
Shape based alignment of 3-D volume slices
Author :
Krinidis, Stelios ; Nikolaidis, Nibs ; Pitas, Ioannis
Author_Institution :
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
438
Abstract :
This paper presents a method for the accurate and computationally efficient alignment of 2-D slices that form a 3-D volume. Alignment incorporates object shape information and is achieved by evaluating the forces acting upon pairs of slices whose object outline points are connected by a system of springs under tension. Experimental results on medical and synthetic 3-D images prove, the efficiency of the method
Keywords :
image segmentation; medical image processing; object recognition; 3D volume slices; medical 3D images; object outline points; object shape information; shape based alignment; springs; synthetic 3D images; Biomedical imaging; Euclidean distance; Geophysics; Image edge detection; Image segmentation; Informatics; Magnetic resonance imaging; Meteorology; Shape; Springs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location :
Jounieh
Print_ISBN :
0-7803-6542-9
Type :
conf
DOI :
10.1109/ICECS.2000.911574
Filename :
911574
Link To Document :
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