Automatic evaluation of the Valsalva sinuses from cine-MRI
OBJECT: Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method. MATERIA...
Gespeichert in:
| Veröffentlicht in: | Magma (New York, N.Y.) N.Y.), 2011, Vol.24 (6), p.359-370 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 370 |
|---|---|
| container_issue | 6 |
| container_start_page | 359 |
| container_title | Magma (New York, N.Y.) |
| container_volume | 24 |
| creator | Blanchard, Cédric Lalande, Alain Sliwa, Tadeusz Bouchot, Olivier Voisin, Yvon |
| description | OBJECT: Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method. MATERIALS AND METHODS: An automatic method based on mathematical morphology was elaborated to segment the aortic root from cross-sectional cine-MRI, and to detect relevant points, such as the commissures, the cusps and the centre of the SV. The distances between these points allow a metric evaluation of the SV. Our method was tested on synthesized data and 41 patient data sets and radii calculations were compared with manual processing. RESULTS: On the patient data sets, there are excellent correlation and concordance between manual and automatic measurements for images at diastole (r=0.97; y=0.97x+0.57; P |
| doi_str_mv | 10.1007/s10334-011-0283-6 |
| format | Article |
| fullrecord | <record><control><sourceid>hal</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00762041v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_HAL_hal_00762041v1</sourcerecordid><originalsourceid>FETCH-hal_primary_oai_HAL_hal_00762041v13</originalsourceid><addsrcrecordid>eNqVjr0KwjAURi-iaP15ALesDtF7kzZWNxFFQRcR1xIkxUjbSNMWfHsr-AJO3-Fwhg9gSjgnxOXCE0oZciTiKGLJVQcCkpHgsVLUhQBXKuaRCOUAht4_EQVFKPswELQSMSoKYL2pK5fryt6ZaXRWt-QK5lJWPQy76czrrNHM26L2xrO0dDm728Lw8-U4hl7aBmby2xHM9rvr9sAfOktepc11-U6ctslhc0q-rr2sBIbUkPyn_QBFzEJn</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Automatic evaluation of the Valsalva sinuses from cine-MRI</title><source>SpringerLink Journals</source><creator>Blanchard, Cédric ; Lalande, Alain ; Sliwa, Tadeusz ; Bouchot, Olivier ; Voisin, Yvon</creator><creatorcontrib>Blanchard, Cédric ; Lalande, Alain ; Sliwa, Tadeusz ; Bouchot, Olivier ; Voisin, Yvon</creatorcontrib><description>OBJECT: Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method. MATERIALS AND METHODS: An automatic method based on mathematical morphology was elaborated to segment the aortic root from cross-sectional cine-MRI, and to detect relevant points, such as the commissures, the cusps and the centre of the SV. The distances between these points allow a metric evaluation of the SV. Our method was tested on synthesized data and 41 patient data sets and radii calculations were compared with manual processing. RESULTS: On the patient data sets, there are excellent correlation and concordance between manual and automatic measurements for images at diastole (r=0.97; y=0.97x+0.57; P<10(-5); mean of differences=0.2 mm; standard deviation of differences=2.0 mm) and at systole (r=0.96; y=0.96x+1.2; P<10(-5); mean of differences<0.1 mm; standard deviation of differences=2.4 mm). CONCLUSION: Our automatic method provides reliable morphometric evaluation of the SV. Measures of distances between relevant points allow a precise evaluation of each cusp of the SV. This robust evaluation can be helpful in the follow-up of patients with aortic root diseases.</description><identifier>ISSN: 0968-5243</identifier><identifier>EISSN: 1352-8661</identifier><identifier>DOI: 10.1007/s10334-011-0283-6</identifier><identifier>PMID: 21928061</identifier><language>eng</language><publisher>Springer Verlag</publisher><subject>Adult ; Aged ; Aortic Valve ; Computer Science ; Diastole ; Electronic Data Processing ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging, Cine ; Male ; Medical Imaging ; Middle Aged ; Sinus of Valsalva ; Systole ; Tricuspid Valve</subject><ispartof>Magma (New York, N.Y.), 2011, Vol.24 (6), p.359-370</ispartof><rights>Attribution - NonCommercial</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-3016-6509 ; 0000-0002-7970-366X ; 0000-0002-7970-366X ; 0000-0002-3016-6509</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,4010,27900,27901,27902</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00762041$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Blanchard, Cédric</creatorcontrib><creatorcontrib>Lalande, Alain</creatorcontrib><creatorcontrib>Sliwa, Tadeusz</creatorcontrib><creatorcontrib>Bouchot, Olivier</creatorcontrib><creatorcontrib>Voisin, Yvon</creatorcontrib><title>Automatic evaluation of the Valsalva sinuses from cine-MRI</title><title>Magma (New York, N.Y.)</title><description>OBJECT: Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method. MATERIALS AND METHODS: An automatic method based on mathematical morphology was elaborated to segment the aortic root from cross-sectional cine-MRI, and to detect relevant points, such as the commissures, the cusps and the centre of the SV. The distances between these points allow a metric evaluation of the SV. Our method was tested on synthesized data and 41 patient data sets and radii calculations were compared with manual processing. RESULTS: On the patient data sets, there are excellent correlation and concordance between manual and automatic measurements for images at diastole (r=0.97; y=0.97x+0.57; P<10(-5); mean of differences=0.2 mm; standard deviation of differences=2.0 mm) and at systole (r=0.96; y=0.96x+1.2; P<10(-5); mean of differences<0.1 mm; standard deviation of differences=2.4 mm). CONCLUSION: Our automatic method provides reliable morphometric evaluation of the SV. Measures of distances between relevant points allow a precise evaluation of each cusp of the SV. This robust evaluation can be helpful in the follow-up of patients with aortic root diseases.</description><subject>Adult</subject><subject>Aged</subject><subject>Aortic Valve</subject><subject>Computer Science</subject><subject>Diastole</subject><subject>Electronic Data Processing</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic Resonance Imaging, Cine</subject><subject>Male</subject><subject>Medical Imaging</subject><subject>Middle Aged</subject><subject>Sinus of Valsalva</subject><subject>Systole</subject><subject>Tricuspid Valve</subject><issn>0968-5243</issn><issn>1352-8661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqVjr0KwjAURi-iaP15ALesDtF7kzZWNxFFQRcR1xIkxUjbSNMWfHsr-AJO3-Fwhg9gSjgnxOXCE0oZciTiKGLJVQcCkpHgsVLUhQBXKuaRCOUAht4_EQVFKPswELQSMSoKYL2pK5fryt6ZaXRWt-QK5lJWPQy76czrrNHM26L2xrO0dDm728Lw8-U4hl7aBmby2xHM9rvr9sAfOktepc11-U6ctslhc0q-rr2sBIbUkPyn_QBFzEJn</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Blanchard, Cédric</creator><creator>Lalande, Alain</creator><creator>Sliwa, Tadeusz</creator><creator>Bouchot, Olivier</creator><creator>Voisin, Yvon</creator><general>Springer Verlag</general><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-3016-6509</orcidid><orcidid>https://orcid.org/0000-0002-7970-366X</orcidid><orcidid>https://orcid.org/0000-0002-7970-366X</orcidid><orcidid>https://orcid.org/0000-0002-3016-6509</orcidid></search><sort><creationdate>2011</creationdate><title>Automatic evaluation of the Valsalva sinuses from cine-MRI</title><author>Blanchard, Cédric ; Lalande, Alain ; Sliwa, Tadeusz ; Bouchot, Olivier ; Voisin, Yvon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-hal_primary_oai_HAL_hal_00762041v13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aortic Valve</topic><topic>Computer Science</topic><topic>Diastole</topic><topic>Electronic Data Processing</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic Resonance Imaging, Cine</topic><topic>Male</topic><topic>Medical Imaging</topic><topic>Middle Aged</topic><topic>Sinus of Valsalva</topic><topic>Systole</topic><topic>Tricuspid Valve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blanchard, Cédric</creatorcontrib><creatorcontrib>Lalande, Alain</creatorcontrib><creatorcontrib>Sliwa, Tadeusz</creatorcontrib><creatorcontrib>Bouchot, Olivier</creatorcontrib><creatorcontrib>Voisin, Yvon</creatorcontrib><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Magma (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blanchard, Cédric</au><au>Lalande, Alain</au><au>Sliwa, Tadeusz</au><au>Bouchot, Olivier</au><au>Voisin, Yvon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic evaluation of the Valsalva sinuses from cine-MRI</atitle><jtitle>Magma (New York, N.Y.)</jtitle><date>2011</date><risdate>2011</risdate><volume>24</volume><issue>6</issue><spage>359</spage><epage>370</epage><pages>359-370</pages><issn>0968-5243</issn><eissn>1352-8661</eissn><abstract>OBJECT: Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method. MATERIALS AND METHODS: An automatic method based on mathematical morphology was elaborated to segment the aortic root from cross-sectional cine-MRI, and to detect relevant points, such as the commissures, the cusps and the centre of the SV. The distances between these points allow a metric evaluation of the SV. Our method was tested on synthesized data and 41 patient data sets and radii calculations were compared with manual processing. RESULTS: On the patient data sets, there are excellent correlation and concordance between manual and automatic measurements for images at diastole (r=0.97; y=0.97x+0.57; P<10(-5); mean of differences=0.2 mm; standard deviation of differences=2.0 mm) and at systole (r=0.96; y=0.96x+1.2; P<10(-5); mean of differences<0.1 mm; standard deviation of differences=2.4 mm). CONCLUSION: Our automatic method provides reliable morphometric evaluation of the SV. Measures of distances between relevant points allow a precise evaluation of each cusp of the SV. This robust evaluation can be helpful in the follow-up of patients with aortic root diseases.</abstract><pub>Springer Verlag</pub><pmid>21928061</pmid><doi>10.1007/s10334-011-0283-6</doi><orcidid>https://orcid.org/0000-0002-3016-6509</orcidid><orcidid>https://orcid.org/0000-0002-7970-366X</orcidid><orcidid>https://orcid.org/0000-0002-7970-366X</orcidid><orcidid>https://orcid.org/0000-0002-3016-6509</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0968-5243 |
| ispartof | Magma (New York, N.Y.), 2011, Vol.24 (6), p.359-370 |
| issn | 0968-5243 1352-8661 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_00762041v1 |
| source | SpringerLink Journals |
| subjects | Adult Aged Aortic Valve Computer Science Diastole Electronic Data Processing Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging, Cine Male Medical Imaging Middle Aged Sinus of Valsalva Systole Tricuspid Valve |
| title | Automatic evaluation of the Valsalva sinuses from cine-MRI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T13%3A56%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20evaluation%20of%20the%20Valsalva%20sinuses%20from%20cine-MRI&rft.jtitle=Magma%20(New%20York,%20N.Y.)&rft.au=Blanchard,%20C%C3%A9dric&rft.date=2011&rft.volume=24&rft.issue=6&rft.spage=359&rft.epage=370&rft.pages=359-370&rft.issn=0968-5243&rft.eissn=1352-8661&rft_id=info:doi/10.1007/s10334-011-0283-6&rft_dat=%3Chal%3Eoai_HAL_hal_00762041v1%3C/hal%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/21928061&rfr_iscdi=true |