DocumentCode :
657915
Title :
3D Skull Registration Based on Registration Points Automatic Correspondence
Author :
Hongqiang Du ; Guohua Geng ; Kang Li ; Yiyue He
Author_Institution :
Sch. of Inf. Sci. & Technol., Northwest Univ., Xi´an, China
fYear :
2013
fDate :
14-15 Sept. 2013
Firstpage :
293
Lastpage :
296
Abstract :
Aiming at the precise 3D skull registration, ball volume integral invariants for multi-scale constraints is introduced to realize point correspondence between registration point sets of reference skull and that of target skull, a method of 3D skull registration based on ICP and TPS is proposed. Firstly, get reference skull and target skull unified to frankfurt coordinate system. Secondly, establish registration point sets for the two skull, the sets inlcude feature points calibrated by semi-automatic method and sampling points selected through octree. Thirdly, use the multi-scale constraints based on volume integral invariants to complete the point correspondence. Finally, carry out ICP to realize coarse registration and use TPS to achieve accurate global non-rigid registration. The experiments show our algorithm improves the precision of skull registration effectively.
Keywords :
computerised tomography; feature extraction; image registration; medical image processing; octrees; splines (mathematics); 3D skull registration; Frankfurt coordinate system; ICP; TPS; ball volume integral invariants; feature points; global nonrigid registration; head CT image extraction; iterative closest point; multiscale constraints; octree; reference skull-target skull registration point set; registration points automatic correspondence; semiautomatic method; thin plate spline; Accuracy; Biological tissues; Educational institutions; Feature extraction; Iterative closest point algorithm; Solid modeling; Three-dimensional displays; ICP; TPS; ball volume integral invariants; multi-scale constraints; skull registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2013 International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/ICVRV.2013.56
Filename :
6689439
Link To Document :
بازگشت