1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35TE3AS |
Repository | sid.inpe.br/sibgrapi@80/2009/08.25.18.40 |
Last Update | 2009:08.25.18.40.08 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.25.18.40.10 |
Metadata Last Update | 2022:07.30.04.22.22 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.41 |
Citation Key | LaraMenoFariAraú:2009:SeMeSe |
Title | A Semi-Automatic Method for Segmentation of the Coronary Artery Tree from Angiography  |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2025, May 11 |
Number of Files | 1 |
Size | 5437 KiB |
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2. Context | |
Author | 1 Lara, Daniel S. D. 2 Menotti, David 3 Faria, Alexandre W. C. 4 Araújo, Arnaldo de Albuquerque |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | daniel_diogo@hotmail.com |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:27 :: daniel_diogo@hotmail.com -> administrator :: 2022-07-30 04:22:22 :: administrator -> :: 2009 |
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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 | Image Segmentation Coronary Artery Tree Angiography |
Abstract | Nowadays, medical diagnostics using images has a considerable importance in many areas of medicine. It promotes and makes easier the acquisition, transmission and analysis of medical images. The use of digital images for diseases evaluations or diagnostics is still growing up and new application modalities are always appearing. This paper presents a methodology for a semi-automatic segmentation of the coronary artery tree in 2D X-Ray angiographies. It combines a region growing algorithm and a differential geometry approach. The proposed segmentation method identifies about 90% of the main coronary artery tree. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > A Semi-Automatic Method... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A Semi-Automatic Method... |
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/8JMKD3MGPBW4/35TE3AS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35TE3AS |
Language | en |
Target File | 2009-sibgrapi-angio_submitted.pdf |
User Group | daniel_diogo@hotmail.com |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 30 sid.inpe.br/sibgrapi/2022/06.10.21.49 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | affiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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