1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/wmaVH |
Repository | sid.inpe.br/banon/2002/12.03.10.58 |
Last Update | 2002:11.28.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/12.03.10.58.13 |
Metadata Last Update | 2022:06.14.00.12.28 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2001.963063 |
Citation Key | MeyeringGuti:2001:CaImSe |
Title | Cardiac image sequence analysis using a spatiotemporal frequency approach |
Year | 2001 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 414 KiB |
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2. Context | |
Author | 1 Meyering, Wietske Ineke 2 Gutierrez, Marco Antonio |
Editor | Borges, Leandro Díbio Wu, Shin-Ting |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI) |
Conference Location | Florianópolis, SC, Brazil |
Date | 15-18 Oct. 2001 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 252-257 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:54 :: administrator -> banon :: 2008-08-26 15:22:04 :: banon -> administrator :: 2009-08-13 20:37:16 :: administrator -> banon :: 2010-08-28 20:00:13 :: banon -> administrator :: 2022-06-14 00:12:28 :: administrator -> :: 2001 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
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. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Cardiac image sequence... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Cardiac image sequence... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/wmaVH |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/wmaVH |
Language | en |
Target File | 252-257.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46Q6TJ5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.29.19.35 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Florianópolis, SC, Brazil, from October 15 to 18. |
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