Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients
Highlights ► Videocapsule images are quantified to discern celiac disease patients from controls. ► Method is robust to air bubbles, opaque luminal fluids, and other extraneous features. ► Transform coefficients derived by ensemble averaging are used for spectral estimation. ► Image reconstruction w...
Gespeichert in:
| Veröffentlicht in: | Computer methods and programs in biomedicine 2012-10, Vol.108 (1), p.28-37 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 37 |
|---|---|
| container_issue | 1 |
| container_start_page | 28 |
| container_title | Computer methods and programs in biomedicine |
| container_volume | 108 |
| creator | Ciaccio, Edward J Tennyson, Christina A Bhagat, Govind Lewis, Suzanne K Green, Peter H.R |
| description | Highlights ► Videocapsule images are quantified to discern celiac disease patients from controls. ► Method is robust to air bubbles, opaque luminal fluids, and other extraneous features. ► Transform coefficients derived by ensemble averaging are used for spectral estimation. ► Image reconstruction with orthogonal basis vectors retains salient information. ► Edges of transformed image features are nonuniform in celiacs and uniform in controls. |
| doi_str_mv | 10.1016/j.cmpb.2011.12.008 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1125230215</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0169260711003257</els_id><sourcerecordid>1038070281</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-aceffafc7e937b9d3e273c67704e2d644db5ac0987fadf37c73972f3c466e4823</originalsourceid><addsrcrecordid>eNqFkk2LFDEQhoMo7rj6BzxILoKXbvPR3ekBEZbFL1jw4HoO6aQiGdOd3lT3yP5708yo4EFPdXneqqKeIuQ5ZzVnvHt9qO04D7VgnNdc1Iz1D8iO90pUqu3ah2RXoH0lOqYuyBPEA2NMtG33mFwIIfpGMbkjd7fZTOhTHs0S0kSTp8fgIFkz4xqBhtF8A6RLog4WsAvF0cRIh_QDIh1Xm9BE6oL3kGGyhQwTtRCDsfQIGVekNk1LTpHOZQBMCz4lj7yJCM_O9ZJ8ff_u9vpjdfP5w6frq5vKNqpZKmPBe-Otgr1Uw95JEEraTinWgHBd07ihNZbte-WN81JZJfdKeGmbroOmF_KSvDr1nXO6WwEXPQYsq0UzQVpRcy5aIZng7f9RJnummOh5QcUJtTkhZvB6zuVG-b5AerOiD3qzojcrmgtdrJTQi3P_dRjB_Y780lCAl2fAoDXRFyc24B-uk-15-psTB-VwxwBZow3b3V3IRY52Kfx7j7d_xW0MUygTv8M94CGteSpKNNdYAvrL9j_b-3DOmBStkj8BC3zBgA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1038070281</pqid></control><display><type>article</type><title>Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Ciaccio, Edward J ; Tennyson, Christina A ; Bhagat, Govind ; Lewis, Suzanne K ; Green, Peter H.R</creator><creatorcontrib>Ciaccio, Edward J ; Tennyson, Christina A ; Bhagat, Govind ; Lewis, Suzanne K ; Green, Peter H.R</creatorcontrib><description>Highlights ► Videocapsule images are quantified to discern celiac disease patients from controls. ► Method is robust to air bubbles, opaque luminal fluids, and other extraneous features. ► Transform coefficients derived by ensemble averaging are used for spectral estimation. ► Image reconstruction with orthogonal basis vectors retains salient information. ► Edges of transformed image features are nonuniform in celiacs and uniform in controls.</description><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/j.cmpb.2011.12.008</identifier><identifier>PMID: 22284703</identifier><language>eng</language><publisher>Kidlington: Elsevier Ireland Ltd</publisher><subject>Applied sciences ; Artificial intelligence ; Biological and medical sciences ; Capsule Endoscopy - methods ; Case-Control Studies ; Celiac disease ; Celiac Disease - pathology ; Computer science; control theory; systems ; Digestive system. Abdomen ; Endoscopy ; Ensemble average ; Exact sciences and technology ; Humans ; Internal Medicine ; Intestinal Mucosa - pathology ; Intestine, Small - pathology ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Other ; Pattern recognition. Digital image processing. Computational geometry ; Spectral analysis ; Videocapsule imaging ; Villous atrophy</subject><ispartof>Computer methods and programs in biomedicine, 2012-10, Vol.108 (1), p.28-37</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2011 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-aceffafc7e937b9d3e273c67704e2d644db5ac0987fadf37c73972f3c466e4823</citedby><cites>FETCH-LOGICAL-c474t-aceffafc7e937b9d3e273c67704e2d644db5ac0987fadf37c73972f3c466e4823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cmpb.2011.12.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26350281$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22284703$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ciaccio, Edward J</creatorcontrib><creatorcontrib>Tennyson, Christina A</creatorcontrib><creatorcontrib>Bhagat, Govind</creatorcontrib><creatorcontrib>Lewis, Suzanne K</creatorcontrib><creatorcontrib>Green, Peter H.R</creatorcontrib><title>Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>Highlights ► Videocapsule images are quantified to discern celiac disease patients from controls. ► Method is robust to air bubbles, opaque luminal fluids, and other extraneous features. ► Transform coefficients derived by ensemble averaging are used for spectral estimation. ► Image reconstruction with orthogonal basis vectors retains salient information. ► Edges of transformed image features are nonuniform in celiacs and uniform in controls.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Biological and medical sciences</subject><subject>Capsule Endoscopy - methods</subject><subject>Case-Control Studies</subject><subject>Celiac disease</subject><subject>Celiac Disease - pathology</subject><subject>Computer science; control theory; systems</subject><subject>Digestive system. Abdomen</subject><subject>Endoscopy</subject><subject>Ensemble average</subject><subject>Exact sciences and technology</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Intestinal Mucosa - pathology</subject><subject>Intestine, Small - pathology</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Other</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Spectral analysis</subject><subject>Videocapsule imaging</subject><subject>Villous atrophy</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkk2LFDEQhoMo7rj6BzxILoKXbvPR3ekBEZbFL1jw4HoO6aQiGdOd3lT3yP5708yo4EFPdXneqqKeIuQ5ZzVnvHt9qO04D7VgnNdc1Iz1D8iO90pUqu3ah2RXoH0lOqYuyBPEA2NMtG33mFwIIfpGMbkjd7fZTOhTHs0S0kSTp8fgIFkz4xqBhtF8A6RLog4WsAvF0cRIh_QDIh1Xm9BE6oL3kGGyhQwTtRCDsfQIGVekNk1LTpHOZQBMCz4lj7yJCM_O9ZJ8ff_u9vpjdfP5w6frq5vKNqpZKmPBe-Otgr1Uw95JEEraTinWgHBd07ihNZbte-WN81JZJfdKeGmbroOmF_KSvDr1nXO6WwEXPQYsq0UzQVpRcy5aIZng7f9RJnummOh5QcUJtTkhZvB6zuVG-b5AerOiD3qzojcrmgtdrJTQi3P_dRjB_Y780lCAl2fAoDXRFyc24B-uk-15-psTB-VwxwBZow3b3V3IRY52Kfx7j7d_xW0MUygTv8M94CGteSpKNNdYAvrL9j_b-3DOmBStkj8BC3zBgA</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Ciaccio, Edward J</creator><creator>Tennyson, Christina A</creator><creator>Bhagat, Govind</creator><creator>Lewis, Suzanne K</creator><creator>Green, Peter H.R</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20121001</creationdate><title>Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients</title><author>Ciaccio, Edward J ; Tennyson, Christina A ; Bhagat, Govind ; Lewis, Suzanne K ; Green, Peter H.R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-aceffafc7e937b9d3e273c67704e2d644db5ac0987fadf37c73972f3c466e4823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biological and medical sciences</topic><topic>Capsule Endoscopy - methods</topic><topic>Case-Control Studies</topic><topic>Celiac disease</topic><topic>Celiac Disease - pathology</topic><topic>Computer science; control theory; systems</topic><topic>Digestive system. Abdomen</topic><topic>Endoscopy</topic><topic>Ensemble average</topic><topic>Exact sciences and technology</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Intestinal Mucosa - pathology</topic><topic>Intestine, Small - pathology</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Medical sciences</topic><topic>Other</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Spectral analysis</topic><topic>Videocapsule imaging</topic><topic>Villous atrophy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ciaccio, Edward J</creatorcontrib><creatorcontrib>Tennyson, Christina A</creatorcontrib><creatorcontrib>Bhagat, Govind</creatorcontrib><creatorcontrib>Lewis, Suzanne K</creatorcontrib><creatorcontrib>Green, Peter H.R</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ciaccio, Edward J</au><au>Tennyson, Christina A</au><au>Bhagat, Govind</au><au>Lewis, Suzanne K</au><au>Green, Peter H.R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>2012-10-01</date><risdate>2012</risdate><volume>108</volume><issue>1</issue><spage>28</spage><epage>37</epage><pages>28-37</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>Highlights ► Videocapsule images are quantified to discern celiac disease patients from controls. ► Method is robust to air bubbles, opaque luminal fluids, and other extraneous features. ► Transform coefficients derived by ensemble averaging are used for spectral estimation. ► Image reconstruction with orthogonal basis vectors retains salient information. ► Edges of transformed image features are nonuniform in celiacs and uniform in controls.</abstract><cop>Kidlington</cop><pub>Elsevier Ireland Ltd</pub><pmid>22284703</pmid><doi>10.1016/j.cmpb.2011.12.008</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0169-2607 |
| ispartof | Computer methods and programs in biomedicine, 2012-10, Vol.108 (1), p.28-37 |
| issn | 0169-2607 1872-7565 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1125230215 |
| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Artificial intelligence Biological and medical sciences Capsule Endoscopy - methods Case-Control Studies Celiac disease Celiac Disease - pathology Computer science control theory systems Digestive system. Abdomen Endoscopy Ensemble average Exact sciences and technology Humans Internal Medicine Intestinal Mucosa - pathology Intestine, Small - pathology Investigative techniques, diagnostic techniques (general aspects) Medical sciences Other Pattern recognition. Digital image processing. Computational geometry Spectral analysis Videocapsule imaging Villous atrophy |
| title | Transformation of videocapsule images to detect small bowel mucosal differences in celiac versus control patients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T10%3A40%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transformation%20of%20videocapsule%20images%20to%20detect%20small%20bowel%20mucosal%20differences%20in%20celiac%20versus%20control%20patients&rft.jtitle=Computer%20methods%20and%20programs%20in%20biomedicine&rft.au=Ciaccio,%20Edward%20J&rft.date=2012-10-01&rft.volume=108&rft.issue=1&rft.spage=28&rft.epage=37&rft.pages=28-37&rft.issn=0169-2607&rft.eissn=1872-7565&rft_id=info:doi/10.1016/j.cmpb.2011.12.008&rft_dat=%3Cproquest_cross%3E1038070281%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1038070281&rft_id=info:pmid/22284703&rft_els_id=S0169260711003257&rfr_iscdi=true |