@InProceedings{AguenaMascAnacFels:2013:MRItSu,
author = "Aguena, Marcia L. S. and Mascarenhas, Nelson Delfino d'{\'A}vila
and Anacleto, Junia C. and Fels, Sidney S.",
affiliation = "{Federal University of S{\~a}o Carlos}",
title = "MRI Iterative Super Resolution with Wiener Filter Regularization",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Super-Resolution, Swallowing MRI, Wiener Filter, Conjugate
Gradient, Bayesian Regularization.",
abstract = "The swallowing process affects several aspects of one's welfare,
as nutrition, hydration, respiration and hearing. Magnetic
resonance imaging (MRI) has been a valuable tool to study
swallowing, since it is a non-invasive procedure that can
dynamically capture the shapes of the tongue and other elements
involved in the process. The resolution enhancement of the MRI
frames support directly diseases diagnoses, helping the visual
analysis, or can be a pre-processing tool to segmentation,
classification, recognition or modelling. MRI frames with better
resolution, with less blurring or noise can be obtained changing
the acquisition process, or using more powerful devices, but the
cost of this solution is higher than applying computational
Super-Resolution (SR) techniques. This paper studies a Bayesian
approach to provide a Wiener filter to regularize the conjugate
gradient solution, and promote an adaptation of an iterative SR
method for non-rigid registration that can be generalized to other
iterative SR methods.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.30",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.30",
language = "en",
ibi = "8JMKD3MGPBW34M/3EER778",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EER778",
targetfile = "1252148159.pdf",
urlaccessdate = "2024, Apr. 29"
}