Title :
Multiresolution Elastic Medical Image Registration in Standard Intensity Scale
Author :
Ulas Bagci;Li Bai
Author_Institution :
The University of Nottingham, UK
Abstract :
Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.
Keywords :
"Image resolution","Biomedical imaging","Image registration","Medical diagnostic imaging","Collaboration","Image analysis","Standardization","Spline","Spatial resolution","Computer graphics"
Conference_Titel :
Computer Graphics and Image Processing, 2007. SIBGRAPI 2007. XX Brazilian Symposium on
Print_ISBN :
0-7695-2996-8;978-0-7695-2996-7
DOI :
10.1109/SIBGRAPI.2007.22