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		<doi>10.1109/SIBGRAPI.2001.963063</doi>
		<citationkey>MeyeringGuti:2001:CaImSe</citationkey>
		<title>Cardiac image sequence analysis using a spatiotemporal frequency approach</title>
		<year>2001</year>
		<numberoffiles>1</numberoffiles>
		<size>414 KiB</size>
		<author>Meyering, Wietske Ineke,</author>
		<author>Gutierrez, Marco Antonio,</author>
		<editor>Borges, Leandro Díbio,</editor>
		<editor>Wu, Shin-Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)</conferencename>
		<conferencelocation>Florianópolis, SC, Brazil</conferencelocation>
		<date>15-18 Oct. 2001</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>252-257</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>velocity vector field, motion tracking, cardiac image, spatiotemporal frequency analysis.</keywords>
		<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.</abstract>
		<language>en</language>
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		<notes>The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.</notes>
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