Segmenting the visible human female.
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Auteurs : Ameya Malvankar [États-Unis] ; Bharti TemkinSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2006.
Descripteurs français
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- MESH :
- geographic : United States.
- Female, Humans, Imaging, Three-Dimensional, Internet, Models, Anatomic, User-Computer Interface.
Abstract
Web-based three-dimensional Virtual Body Structures (W3D-VBS) is an interactive image-based anatomical training system over the Internet. It uses segmented low-resolution Visible Human Male (LR-VHM) data to dynamically explore, select, highlight, label, extract, manipulate, and stereoscopically palpate 3D virtual anatomical models with a haptic device. The segmentation results presented in this paper for the Visible Human Female (VHF) and the high resolution Visible Human Male (HR-VHM) have been obtained using our segmentation tools. Segmenting the HR-VHM was an easier task as we use the segmented shapes and label information of existing LR-VHM data, with the same image content. This is not the case for the VHF and we needed to develop a special tool, Segm-VHF, which allows us to integrate the VHF dataset into W3D-VBS.
PubMed: 16404078
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pubmed:16404078Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Segmenting the visible human female.</title><author><name sortKey="Malvankar, Ameya" sort="Malvankar, Ameya" uniqKey="Malvankar A" first="Ameya" last="Malvankar">Ameya Malvankar</name><affiliation wicri:level="1"><nlm:affiliation>Department of Computer Science, Texas Tech University, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Texas Tech University</wicri:regionArea><wicri:noRegion>Texas Tech University</wicri:noRegion></affiliation></author><author><name sortKey="Temkin, Bharti" sort="Temkin, Bharti" uniqKey="Temkin B" first="Bharti" last="Temkin">Bharti Temkin</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2006">2006</date><idno type="RBID">pubmed:16404078</idno><idno type="pmid">16404078</idno><idno type="wicri:Area/PubMed/Corpus">001856</idno><idno type="wicri:Area/PubMed/Curation">001856</idno><idno type="wicri:Area/PubMed/Checkpoint">001540</idno><idno type="wicri:Area/Ncbi/Merge">000852</idno><idno type="wicri:Area/Ncbi/Curation">000852</idno><idno type="wicri:Area/Ncbi/Checkpoint">000852</idno><idno type="wicri:doubleKey">0926-9630:2006:Malvankar A:segmenting:the:visible</idno><idno type="wicri:Area/Main/Merge">005D51</idno><idno type="wicri:Area/Main/Curation">005B41</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Segmenting the visible human female.</title><author><name sortKey="Malvankar, Ameya" sort="Malvankar, Ameya" uniqKey="Malvankar A" first="Ameya" last="Malvankar">Ameya Malvankar</name><affiliation wicri:level="1"><nlm:affiliation>Department of Computer Science, Texas Tech University, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Texas Tech University</wicri:regionArea><wicri:noRegion>Texas Tech University</wicri:noRegion></affiliation></author><author><name sortKey="Temkin, Bharti" sort="Temkin, Bharti" uniqKey="Temkin B" first="Bharti" last="Temkin">Bharti Temkin</name></author></analytic><series><title level="j">Studies in health technology and informatics</title><idno type="ISSN">0926-9630</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Female</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Internet</term><term>Models, Anatomic</term><term>United States</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Female</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Internet</term><term>Models, Anatomic</term><term>User-Computer Interface</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Web-based three-dimensional Virtual Body Structures (W3D-VBS) is an interactive image-based anatomical training system over the Internet. It uses segmented low-resolution Visible Human Male (LR-VHM) data to dynamically explore, select, highlight, label, extract, manipulate, and stereoscopically palpate 3D virtual anatomical models with a haptic device. The segmentation results presented in this paper for the Visible Human Female (VHF) and the high resolution Visible Human Male (HR-VHM) have been obtained using our segmentation tools. Segmenting the HR-VHM was an easier task as we use the segmented shapes and label information of existing LR-VHM data, with the same image content. This is not the case for the VHF and we needed to develop a special tool, Segm-VHF, which allows us to integrate the VHF dataset into W3D-VBS.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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