@InProceedings{MachadoCampGee:2000:PrInMa,
author = "Machado, Alexei Manso Corr{\^e}a and Campos, Mario Fernando
Montenegro and Gee, James",
title = "Probabilistic intensity mapping in MRI image registration",
booktitle = "Proceedings...",
year = "2000",
editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
pages = "74--81",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Gramado, RS, Brazil, from October 17 to
20.",
keywords = "probability, probabilistic intensity mapping, MRI image
registration, MR sensors, intensity distortions, image
registration, likelihood modeling, similarity metrics, image
matching, morphological constraints, noise, experiments.",
abstract = "In this work, we present a method which is able to relate
different MR sensors with respect to intensity distortions in the
output images. For the important problem of image registration,
the method makes possible a principled approach to likelihood
modeling or the construction of similarity metrics. Likelihood
models can be used as prior knowledge of the relationship between
intensities in both images, providing a fundamental information
resource for image registration. A poor model of the intensity
mapping for the image pair to be matched may lead to false
matches, regardless of the prior morphological constraints assumed
and will bias all subsequent analyses. A formal analysis of
robustness under different kinds of noise is also provided and the
findings compared to other relevant similarity metrics.
Experiments are controlled based on the application of synthetic
spatial and intensity deformations that guarantee a fiducial basis
for comparison.",
conference-location = "Gramado, RS, Brazil",
conference-year = "17-20 Oct. 2000",
doi = "10.1109/SIBGRA.2000.883897",
url = "http://dx.doi.org/10.1109/SIBGRA.2000.883897",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/w4RAD",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/w4RAD",
targetfile = "74-81.pdf",
urlaccessdate = "2024, May 03"
}