Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.
Identifieur interne : 000D44 ( PubMed/Corpus ); précédent : 000D43; suivant : 000D45Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.
Auteurs : Seokhee Jeon ; Seungmoon Choi ; M. HardersSource :
- IEEE transactions on haptics [ 1939-1412 ]
Abstract
Haptic augmented reality (AR) is an emerging research area, which targets the modulation of haptic properties of real objects by means of virtual feedback. In our research, we explore the feasibility of using this technology for medical training systems. As a possible demonstration example, we currently examine the use of augmentation in the context of breast tumor palpation. The key idea in our prototype system is to augment the real feedback of a silicone breast mock-up with simulated forces stemming from virtual tumors. In this paper, we introduce and evaluate the underlying algorithm to provide these force augmentations. This includes a method for the identification of the contact dynamics model via measurements on real sample objects. The performance of our augmentation is examined quantitatively as well as in a user study. Initial results show that the haptic feedback of indenting a real silicone tumor with a rod can be approximated reasonably well with our algorithm. The advantage of such an augmentation approach over physical training models is the ability to create a nearly infinite variety of palpable findings.
DOI: 10.1109/TOH.2011.40
PubMed: 26963832
Links to Exploration step
pubmed:26963832Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.</title><author><name sortKey="Seokhee Jeon" sort="Seokhee Jeon" uniqKey="Seokhee Jeon" last="Seokhee Jeon">Seokhee Jeon</name></author><author><name sortKey="Seungmoon Choi" sort="Seungmoon Choi" uniqKey="Seungmoon Choi" last="Seungmoon Choi">Seungmoon Choi</name></author><author><name sortKey="Harders, M" sort="Harders, M" uniqKey="Harders M" first="M" last="Harders">M. Harders</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="????"><PubDate><MedlineDate>2012 Jan-Mar</MedlineDate></PubDate></date><idno type="doi">10.1109/TOH.2011.40</idno><idno type="RBID">pubmed:26963832</idno><idno type="pmid">26963832</idno><idno type="wicri:Area/PubMed/Corpus">000D44</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.</title><author><name sortKey="Seokhee Jeon" sort="Seokhee Jeon" uniqKey="Seokhee Jeon" last="Seokhee Jeon">Seokhee Jeon</name></author><author><name sortKey="Seungmoon Choi" sort="Seungmoon Choi" uniqKey="Seungmoon Choi" last="Seungmoon Choi">Seungmoon Choi</name></author><author><name sortKey="Harders, M" sort="Harders, M" uniqKey="Harders M" first="M" last="Harders">M. Harders</name></author></analytic><series><title level="j">IEEE transactions on haptics</title><idno type="ISSN">1939-1412</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Haptic augmented reality (AR) is an emerging research area, which targets the modulation of haptic properties of real objects by means of virtual feedback. In our research, we explore the feasibility of using this technology for medical training systems. As a possible demonstration example, we currently examine the use of augmentation in the context of breast tumor palpation. The key idea in our prototype system is to augment the real feedback of a silicone breast mock-up with simulated forces stemming from virtual tumors. In this paper, we introduce and evaluate the underlying algorithm to provide these force augmentations. This includes a method for the identification of the contact dynamics model via measurements on real sample objects. The performance of our augmentation is examined quantitatively as well as in a user study. Initial results show that the haptic feedback of indenting a real silicone tumor with a rod can be approximated reasonably well with our algorithm. The advantage of such an augmentation approach over physical training models is the ability to create a nearly infinite variety of palpable findings.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="PubMed-not-MEDLINE"><PMID Version="1">26963832</PMID><DateCreated><Year>2016</Year><Month>03</Month><Day>11</Day></DateCreated><DateCompleted><Year>2016</Year><Month>03</Month><Day>12</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">1939-1412</ISSN><JournalIssue CitedMedium="Print"><Volume>5</Volume><Issue>1</Issue><PubDate><MedlineDate>2012 Jan-Mar</MedlineDate></PubDate></JournalIssue><Title>IEEE transactions on haptics</Title><ISOAbbreviation>IEEE Trans Haptics</ISOAbbreviation></Journal><ArticleTitle>Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.</ArticleTitle><Pagination><MedlinePgn>77-84</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TOH.2011.40</ELocationID><Abstract><AbstractText>Haptic augmented reality (AR) is an emerging research area, which targets the modulation of haptic properties of real objects by means of virtual feedback. In our research, we explore the feasibility of using this technology for medical training systems. As a possible demonstration example, we currently examine the use of augmentation in the context of breast tumor palpation. The key idea in our prototype system is to augment the real feedback of a silicone breast mock-up with simulated forces stemming from virtual tumors. In this paper, we introduce and evaluate the underlying algorithm to provide these force augmentations. This includes a method for the identification of the contact dynamics model via measurements on real sample objects. The performance of our augmentation is examined quantitatively as well as in a user study. Initial results show that the haptic feedback of indenting a real silicone tumor with a rod can be approximated reasonably well with our algorithm. The advantage of such an augmentation approach over physical training models is the ability to create a nearly infinite variety of palpable findings.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Seokhee Jeon</LastName></Author><Author ValidYN="Y"><LastName>Seungmoon Choi</LastName></Author><Author ValidYN="Y"><LastName>Harders</LastName><ForeName>M</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Trans Haptics</MedlineTA><NlmUniqueID>101491191</NlmUniqueID><ISSNLinking>1939-1412</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>3</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/TOH.2011.40</ArticleId><ArticleId IdType="pubmed">26963832</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D44 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000D44 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:26963832
|texte= Rendering Virtual Tumors in Real Tissue Mock-Ups Using Haptic Augmented Reality.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:26963832" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |