1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZG2LgkFdY/V5kVG |
Repository | sid.inpe.br/sibgrapi@80/2008/08.06.16.30 |
Last Update | 2008:08.06.16.30.10 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2008/08.06.16.30.11 |
Metadata Last Update | 2024:04.05.23.31.29 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2008.17 |
Citation Key | RittnerLotu:2008:DiTeIm |
Title | Diffusion tensor imaging segmentation by watershed transform on tensorial morphological gradient |
Format | Printed, On-line. |
Year | 2008 |
Access Date | 2024, May 13 |
Number of Files | 1 |
Size | 507 KiB |
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2. Context | |
Author | 1 Rittner, Leticia 2 Lotufo, Roberto A. |
Affiliation | 1 FEEC - UNICAMP 2 FEEC - UNICAMP |
Editor | Jung, Cláudio Rosito Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI) |
Conference Location | Campo Grande, MS, Brazil |
Date | 12-15 Oct. 2008 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2008-08-06 16:30:11 :: lrittner@dca.fee.unicamp.br -> administrator :: 2009-08-13 20:39:02 :: administrator -> lrittner@dca.fee.unicamp.br :: 2010-08-28 20:03:23 :: lrittner@dca.fee.unicamp.br -> administrator :: 2024-04-05 23:31:29 :: administrator -> :: 2008 |
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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 | DTI Image segmentation Mathematical morphology Watershed transform |
Abstract | While scalar image segmentation has been studied extensively, diffusion tensor imaging (DTI) segmentation is a relatively new and challenging task. Either existent segmentation methods have to be adapted to deal with tensorial information or completely new segmentation methods have to be developed to accomplish this task. Alternatively, what this work proposes is the computation of a tensorial morphological gradient of DTI, and its segmentation by IFT-based watershed transform. The strength of the proposed segmentation method is its simplicity and robustness, consequences of the tensorial morphological gradient computation. It enables the use, not only of well known algorithms and tools from the mathematical morphology, but also of any other segmentation method to segment DTI, since the computation of the tensorial morphological gradient transforms tensorial images in scalar ones. In order to validate the proposed method, synthetic diffusion tensor fields were generated, and Gaussian noise was added to them. A set of real DTI was also used in the method validation. All segmentation results confirmed that the proposed method is capable to segment different diffusion tensor images, including noisy and real ones. |
Arrangement 1 | MM > Diffusion tensor imaging... |
Arrangement 2 | urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Diffusion tensor imaging... |
Arrangement 3 | urlib.net > SDLA > Fonds > Full Index > Diffusion tensor imaging... |
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://sibgrapi.sid.inpe.br/ibi/6qtX3pFwXQZG2LgkFdY/V5kVG |
zipped data URL | http://sibgrapi.sid.inpe.br/zip/6qtX3pFwXQZG2LgkFdY/V5kVG |
Language | en |
Target File | rittner_dtisegmentation.pdf |
User Group | lrittner@dca.fee.unicamp.br administrator |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPCW/4AUUH9L 8JMKD3MGPEW34M/46SG4TH 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.04.55 1 |
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 e-mailaddress 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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