Title :
Automated CT and MR brain image registration using geometrical feature correlation
Author :
van den Elsen, P.A. ; Viergever, Max A.
Author_Institution :
Utrecht Univ., Netherlands
fDate :
31 Oct-6 Nov 1993
Abstract :
Describes an automated, retrospective approach to register CT and MR brain images, using patient related image properties only. Mathematically well founded differential operators in scale space are applied to 2D or 3D image data, resulting in feature images depicting “ridgeness” The CT and MR feature images show similarity which can be used for matching using a fully automatic hierarchical correlation scheme. Results of 2D and 3D matching experiments are presented
Keywords :
biomedical NMR; brain; computerised tomography; geometry; image registration; medical image processing; CT brain images; MR brain images; automated image registration; automated retrospective approach; feature images; fully automatic hierarchical correlation scheme; geometrical feature correlation; matching experiments; mathematically well founded differential operators; medical diagnostic imaging; ridgeness; scale space; Biomedical imaging; Brain; Computed tomography; Feature extraction; Hospitals; Image registration; Image resolution; Magnetic resonance imaging; Medical diagnostic imaging; Radiology;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1993., 1993 IEEE Conference Record.
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1487-5
DOI :
10.1109/NSSMIC.1993.373608
