1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35SNLLL |
Repository | sid.inpe.br/sibgrapi@80/2009/08.21.14.18 |
Last Update | 2009:08.21.14.18.54 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.21.14.18.55 |
Metadata Last Update | 2024:04.05.23.31.29 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.36 |
Citation Key | RittnerAppeLotu:2009:SeBrSt |
Title | Segmentation of brain structures by watershed transform on tensorial morphological gradient of diffusion tensor imaging |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, Apr. 28 |
Number of Files | 1 |
Size | 469 KiB |
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2. Context | |
Author | 1 Rittner, Leticia 2 Appenzeller, Simone 3 Lotufo, Roberto de Alencar |
Affiliation | 1 Faculdade de Engenharia Elétrica - UNICAMP 2 Faculdade de Medicina - UNICAMP 3 Faculdade de Engenharia Elétrica - UNICAMP |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | lrittner@gmail.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 :: lrittner@gmail.com -> administrator :: 2024-04-05 23:31:29 :: 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 | Diffusion tensor imaging MRI Segmentation Watershed transform Mathematical morphology |
Abstract | Watershed transform on tensorial morphological gradient (TMG) is a new approach to segment diffusion tensor images (DTI). Since the TMG is able to express the tensorial dissimilarities in a single scalar image, the segmentation problem of DTI is then reduced to a scalar image segmentation problem. Therefore, it can be addressed by well-known segmentation techniques, such as the watershed transform. In other words, by computing the TMG of a DTI, and then using the hierarchical watershed transform, it is possible to segment brain structures, such as the corpus callosum, the ventricles and the cortico-spinal tracts, and use the results for subsequent quantitative analysis of DTI parameters. Experiments showed that segmentations obtained with the proposed approach are similar to the ones obtained by other segmentation techniques based on DTI and also segmentation methods based on other Magnetic Resonance Imaging (MRI) modalities. Since the proposed method, as opposed to the majority of the DTI based segmentation methods, does not require manual seed and/or surface placement, its results are highly repeatable. And unlike other methods that have sometimes four parameters to be adjusted, the only adjustable parameter is the number of regions in which the image should be segmented, making it simple and robust. |
Arrangement 1 | MM > Segmentation of brain... |
Arrangement 2 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Segmentation of brain... |
Arrangement 3 | urlib.net > SDLA > Fonds > Full Index > Segmentation of brain... |
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/8JMKD3MGPBW4/35SNLLL |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35SNLLL |
Language | en |
Target File | PID950047.pdf |
User Group | lrittner@gmail.com |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/4AUUH9L 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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