Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3A3M362 |
Repository | sid.inpe.br/sibgrapi/2011/07.11.03.00 |
Last Update | 2011:07.11.03.00.00 ana_martins@dc.ufscar.br |
Metadata | sid.inpe.br/sibgrapi/2011/07.11.03.00.01 |
Metadata Last Update | 2020:02.19.02.19.28 administrator |
Citation Key | MartinsMasc:2011:SpReEn |
Title | Spatio-temporal resolution enhancement of vocal tract MRI sequences based on the Wiener filter  |
Format | DVD, On-line. |
Year | 2011 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 1599 KiB |
Context area | |
Author | 1 Martins, Ana Luísa Dine 2 Mascarenhas, Nelson Delfino d'Ávila |
Affiliation | 1 Universidade Federal de São Carlos 2 Universidade Federal de São Carlos |
Editor | Lewiner, Thomas Torres, Ricardo |
e-Mail Address | ana_martins@dc.ufscar.br |
Conference Name | Conference on Graphics, Patterns and Images, 24 (SIBGRAPI) |
Conference Location | Maceió |
Date | Aug. 28 - 31, 2011 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2011-07-23 15:36:13 :: ana_martins@dc.ufscar.br -> administrator :: 2011 2020-02-19 02:19:28 :: administrator -> :: 2011 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | magnetic resonance imaging (MRI), human speech production research, spatio-temporal resolution enhancement, super-resolution image reconstruction. |
Abstract | Research on human speech production is highly dependent upon information about the position and movements of the speech articulators. Dynamic magnetic resonance imaging (MRI) has been the main tool to support this process. With this technique, image sequences can be acquired in the act of speech, which allows identifying shapes of the vocal tract in real time. However, the spatial and temporal resolution requirements are not known a priori and are expected to vary according to the speech task. Several available approaches enhance resolution by either changing the acquisition process of current devices, or by trading the acquisition devices themselves by more powerful ones. Both solutions involve additional hardware costs. In this paper, we propose an evolution of an approach to enhance spatio-temporal resolution of MRI image sequences of the vocal tract using only digital image processing techniques. On one hand, temporal resolution is increased by generating intermediate images according to the movement present in an observed sequence. On the other hand, spatial resolution is increased by applying a novel approach to super-resolution image reconstruction based on the Wiener filter. To evaluate the proposed approach, we processed a set of five simulated low resolution images in a sequence. Compared to available methods, results provide evidence of the effectiveness of the proposed method. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3A3M362 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3A3M362 |
Language | en |
Target File | Sibgrapi2011.pdf |
User Group | ana_martins@dc.ufscar.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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