A lightweight tangible 3D interface for interactive visualization of thin fiber structures.
Identifieur interne : 000864 ( PubMed/Corpus ); précédent : 000863; suivant : 000865A lightweight tangible 3D interface for interactive visualization of thin fiber structures.
Auteurs : Bret Jackson ; Tung Yuen Lau ; David Schroeder ; Kimani C. Toussaint ; Daniel F. KeefeSource :
- IEEE transactions on visualization and computer graphics [ 1941-0506 ] ; 2013.
English descriptors
- KwdEn :
- Algorithms, Computer Graphics, Fibrillar Collagens (ultrastructure), Image Enhancement (methods), Image Interpretation, Computer-Assisted (methods), Imaging, Three-Dimensional (methods), Microscopy (methods), Nanofibers (ultrastructure), Reproducibility of Results, Sensitivity and Specificity, User-Computer Interface.
- MESH :
- chemical , ultrastructure : Fibrillar Collagens.
- methods : Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Microscopy.
- ultrastructure : Nanofibers.
- Algorithms, Computer Graphics, Reproducibility of Results, Sensitivity and Specificity, User-Computer Interface.
Abstract
We present a prop-based, tangible interface for 3D interactive visualization of thin fiber structures. These data are commonly found in current bioimaging datasets, for example second-harmonic generation microscopy of collagen fibers in tissue. Our approach uses commodity visualization technologies such as a depth sensing camera and low-cost 3D display. Unlike most current uses of these emerging technologies in the games and graphics communities, we employ the depth sensing camera to create a fish-tank stereoscopic virtual reality system at the scientist's desk that supports tracking of small-scale gestures with objects already found in the work space. We apply the new interface to the problem of interactive exploratory visualization of three-dimensional thin fiber data. A critical task for the visual analysis of these data is understanding patterns in fiber orientation throughout a volume.The interface enables a new, fluid style of data exploration and fiber orientation analysis by using props to provide needed passive-haptic feedback, making 3D interactions with these fiber structures more controlled. We also contribute a low-level algorithm for extracting fiber centerlines from volumetric imaging. The system was designed and evaluated with two biophotonic experts who currently use it in their lab. As compared to typical practice within their field, the new visualization system provides a more effective way to examine and understand the 3D bioimaging datasets they collect.
DOI: 10.1109/TVCG.2013.121
PubMed: 24051847
Links to Exploration step
pubmed:24051847Le document en format XML
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Keefe</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="doi">10.1109/TVCG.2013.121</idno><idno type="RBID">pubmed:24051847</idno><idno type="pmid">24051847</idno><idno type="wicri:Area/PubMed/Corpus">000864</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A lightweight tangible 3D interface for interactive visualization of thin fiber structures.</title><author><name sortKey="Jackson, Bret" sort="Jackson, Bret" uniqKey="Jackson B" first="Bret" last="Jackson">Bret Jackson</name><affiliation><nlm:affiliation>University of Minnesota.</nlm:affiliation></affiliation></author><author><name sortKey="Lau, Tung Yuen" sort="Lau, Tung Yuen" uniqKey="Lau T" first="Tung Yuen" last="Lau">Tung Yuen Lau</name></author><author><name sortKey="Schroeder, David" sort="Schroeder, David" uniqKey="Schroeder D" first="David" last="Schroeder">David Schroeder</name></author><author><name sortKey="Toussaint, Kimani C" sort="Toussaint, Kimani C" uniqKey="Toussaint K" first="Kimani C" last="Toussaint">Kimani C. Toussaint</name></author><author><name sortKey="Keefe, Daniel F" sort="Keefe, Daniel F" uniqKey="Keefe D" first="Daniel F" last="Keefe">Daniel F. Keefe</name></author></analytic><series><title level="j">IEEE transactions on visualization and computer graphics</title><idno type="eISSN">1941-0506</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Computer Graphics</term><term>Fibrillar Collagens (ultrastructure)</term><term>Image Enhancement (methods)</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional (methods)</term><term>Microscopy (methods)</term><term>Nanofibers (ultrastructure)</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" type="chemical" qualifier="ultrastructure" xml:lang="en"><term>Fibrillar Collagens</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Enhancement</term><term>Image Interpretation, Computer-Assisted</term><term>Imaging, Three-Dimensional</term><term>Microscopy</term></keywords><keywords scheme="MESH" qualifier="ultrastructure" xml:lang="en"><term>Nanofibers</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Computer Graphics</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present a prop-based, tangible interface for 3D interactive visualization of thin fiber structures. These data are commonly found in current bioimaging datasets, for example second-harmonic generation microscopy of collagen fibers in tissue. Our approach uses commodity visualization technologies such as a depth sensing camera and low-cost 3D display. Unlike most current uses of these emerging technologies in the games and graphics communities, we employ the depth sensing camera to create a fish-tank stereoscopic virtual reality system at the scientist's desk that supports tracking of small-scale gestures with objects already found in the work space. We apply the new interface to the problem of interactive exploratory visualization of three-dimensional thin fiber data. A critical task for the visual analysis of these data is understanding patterns in fiber orientation throughout a volume.The interface enables a new, fluid style of data exploration and fiber orientation analysis by using props to provide needed passive-haptic feedback, making 3D interactions with these fiber structures more controlled. We also contribute a low-level algorithm for extracting fiber centerlines from volumetric imaging. The system was designed and evaluated with two biophotonic experts who currently use it in their lab. As compared to typical practice within their field, the new visualization system provides a more effective way to examine and understand the 3D bioimaging datasets they collect.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24051847</PMID><DateCreated><Year>2013</Year><Month>09</Month><Day>20</Day></DateCreated><DateCompleted><Year>2014</Year><Month>05</Month><Day>02</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1941-0506</ISSN><JournalIssue CitedMedium="Internet"><Volume>19</Volume><Issue>12</Issue><PubDate><Year>2013</Year><Month>Dec</Month></PubDate></JournalIssue><Title>IEEE transactions on visualization and computer graphics</Title><ISOAbbreviation>IEEE Trans Vis Comput Graph</ISOAbbreviation></Journal><ArticleTitle>A lightweight tangible 3D interface for interactive visualization of thin fiber structures.</ArticleTitle><Pagination><MedlinePgn>2802-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TVCG.2013.121</ELocationID><Abstract><AbstractText>We present a prop-based, tangible interface for 3D interactive visualization of thin fiber structures. These data are commonly found in current bioimaging datasets, for example second-harmonic generation microscopy of collagen fibers in tissue. Our approach uses commodity visualization technologies such as a depth sensing camera and low-cost 3D display. Unlike most current uses of these emerging technologies in the games and graphics communities, we employ the depth sensing camera to create a fish-tank stereoscopic virtual reality system at the scientist's desk that supports tracking of small-scale gestures with objects already found in the work space. We apply the new interface to the problem of interactive exploratory visualization of three-dimensional thin fiber data. A critical task for the visual analysis of these data is understanding patterns in fiber orientation throughout a volume.The interface enables a new, fluid style of data exploration and fiber orientation analysis by using props to provide needed passive-haptic feedback, making 3D interactions with these fiber structures more controlled. We also contribute a low-level algorithm for extracting fiber centerlines from volumetric imaging. The system was designed and evaluated with two biophotonic experts who currently use it in their lab. As compared to typical practice within their field, the new visualization system provides a more effective way to examine and understand the 3D bioimaging datasets they collect.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jackson</LastName><ForeName>Bret</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>University of Minnesota.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lau</LastName><ForeName>Tung Yuen</ForeName><Initials>TY</Initials></Author><Author ValidYN="Y"><LastName>Schroeder</LastName><ForeName>David</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Toussaint</LastName><ForeName>Kimani C</ForeName><Initials>KC</Initials><Suffix>Jr</Suffix></Author><Author ValidYN="Y"><LastName>Keefe</LastName><ForeName>Daniel F</ForeName><Initials>DF</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Trans Vis Comput Graph</MedlineTA><NlmUniqueID>9891704</NlmUniqueID><ISSNLinking>1077-2626</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D024022">Fibrillar Collagens</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000465">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D003196">Computer Graphics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D024022">Fibrillar Collagens</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000648">ultrastructure</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007089">Image Enhancement</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007090">Image Interpretation, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D021621">Imaging, Three-Dimensional</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008853">Microscopy</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D057139">Nanofibers</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000648">ultrastructure</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012680">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>9</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>9</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>5</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/TVCG.2013.121</ArticleId><ArticleId IdType="pubmed">24051847</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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