@InProceedings{BagciBai:2007:MuElMe,
author = "Bagci, Ulas and Bai, Li",
affiliation = "Collaborative Medical Image Analysis Group, CS and IT, The
University of Nottingham and Collaborative Medical Image Analysis
Group, CS and IT, The University of Nottingham",
title = "Multiresolution Elastic Medical Image Registration in Standard
Intensity Scale",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Elastic Registration, Standardization, Affine Registration,
Intensity Variations.",
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.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.22",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.22",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/QNTKz",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QNTKz",
targetfile = "bagci_registration_sibgrapi07.pdf",
urlaccessdate = "2024, Apr. 27"
}