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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
         
        
            Conference_Location : 
Jounieh
         
        
            Print_ISBN : 
0-7803-6542-9
         
        
        
            DOI : 
10.1109/ICECS.2000.911574