@InProceedings{MeyeringGuti:2001:CaImSe,
author = "Meyering, Wietske Ineke and Gutierrez, Marco Antonio",
title = "Cardiac image sequence analysis using a spatiotemporal frequency
approach",
booktitle = "Proceedings...",
year = "2001",
editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
pages = "252--257",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Florian{\'o}polis, SC, Brazil, from
October 15 to 18.",
keywords = "velocity vector field, motion tracking, cardiac image,
spatiotemporal frequency analysis.",
abstract = "The estimation of left ventricle motion and deformation from
series of images has been an area of attention in the medical
image analysis and still remains and open and challenging problem.
The proper motion tracking of left ventricle wall can contribute
to isolate the location and extent of ischemic or infarcted
myocardium. We present a method that automatically estimates the
velocity vector field for a beating heart based on the study of
variation in frequency content of a time series of non-stationary
images. Results obtained with this automated method in synthetic
images and cardiac gated-SPECT images are presented.",
conference-location = "Florian{\'o}polis, SC, Brazil",
conference-year = "15-18 Oct. 2001",
doi = "10.1109/SIBGRAPI.2001.963063",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963063",
language = "en",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/wmaVH",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wmaVH",
targetfile = "252-257.pdf",
urlaccessdate = "2024, May 02"
}