Loading…
Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method
Objectives To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements. Methods Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evalua...
Saved in:
| Published in: | European radiology 2016-05, Vol.26 (5), p.1503-1511 |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763 |
| container_end_page | 1511 |
| container_issue | 5 |
| container_start_page | 1503 |
| container_title | European radiology |
| container_volume | 26 |
| creator | Varga-Szemes, Akos Muscogiuri, Giuseppe Schoepf, U. Joseph Wichmann, Julian L. Suranyi, Pal De Cecco, Carlo N. Cannaò, Paola M. Renker, Matthias Mangold, Stefanie Fox, Mary A. Ruzsics, Balazs |
| description | Objectives
To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements.
Methods
Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evaluate left ventricular (LV) volumes and mass (LVM) using conventional and threshold-based segmentations. Phase-contrast images were used to independently measure stroke volume (SV). LV parameters were evaluated by two independent readers.
Results
Evaluation times using the conventional and threshold-based methods were 8.4 ± 1.9 and 4.2 ± 1.3 min, respectively (
P
0.05) but were significantly different from conventional analysis (
P
|
| doi_str_mv | 10.1007/s00330-015-3952-4 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1779022171</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1779022171</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763</originalsourceid><addsrcrecordid>eNp1kU1vFSEUhomxsde2P8CNmcSNG-wBZoBZmpv6kTRxo2vCAHMvzQAVmMVd-8flOtUYE1cn5DzvS3IehF4ReEcAxG0BYAwwkAGzcaC4f4Z2pGcUE5D9c7SDkUksxrG_RC9LeQCAkfTiBbqknHIxUNihH_vFR2_00s1OFz_5xddTl-ZOd-GUjM7Wt13xh9iGj9XFcgbqMbtyTIvFky7OdsUFj_VaU9C1Pbec6YI-RFe96Rqdoo7GNfIQXKy6-hS74Oox2Wt0MeuluJuneYW-fbj7uv-E7798_Lx_f48NE7RiS6Tkk-vdRCW3ggtDzDBoaTgwaYEO3FLKNGd8NGLkmtJh7gH4LKeRG8HZFXq79T7m9H11pargi3HLoqNLa1FEiBEoJYI09M0_6ENac7vBL0oyTgcCjSIbZXIqJbtZPWYfdD4pAupsSG2GVDOkzoZU3zKvn5rXKTj7J_FbSQPoBpS2igeX__r6v60_AS-ZnNo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1778362510</pqid></control><display><type>article</type><title>Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method</title><source>Springer Nature</source><creator>Varga-Szemes, Akos ; Muscogiuri, Giuseppe ; Schoepf, U. Joseph ; Wichmann, Julian L. ; Suranyi, Pal ; De Cecco, Carlo N. ; Cannaò, Paola M. ; Renker, Matthias ; Mangold, Stefanie ; Fox, Mary A. ; Ruzsics, Balazs</creator><creatorcontrib>Varga-Szemes, Akos ; Muscogiuri, Giuseppe ; Schoepf, U. Joseph ; Wichmann, Julian L. ; Suranyi, Pal ; De Cecco, Carlo N. ; Cannaò, Paola M. ; Renker, Matthias ; Mangold, Stefanie ; Fox, Mary A. ; Ruzsics, Balazs</creatorcontrib><description>Objectives
To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements.
Methods
Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evaluate left ventricular (LV) volumes and mass (LVM) using conventional and threshold-based segmentations. Phase-contrast images were used to independently measure stroke volume (SV). LV parameters were evaluated by two independent readers.
Results
Evaluation times using the conventional and threshold-based methods were 8.4 ± 1.9 and 4.2 ± 1.3 min, respectively (
P
< 0.0001). LV parameters measured by the conventional and threshold-based methods, respectively, were end-diastolic volume (EDV) 146 ± 59 and 134 ± 53 ml; end-systolic volume (ESV) 64 ± 47 and 59 ± 46 ml; SV 82 ± 29 and 74 ± 28 ml (flow-based 74 ± 30 ml); ejection fraction (EF) 59 ± 16 and 58 ± 17 %; and LVM 141 ± 55 and 159 ± 58 g. Significant differences between the conventional and threshold-based methods were observed in EDV, ESV, and LVM mesurements; SV from threshold-based and flow-based measurements were in agreement (
P
> 0.05) but were significantly different from conventional analysis (
P
< 0.05). Excellent inter-observer agreement was observed.
Conclusions
Threshold-based LV segmentation provides improved accuracy and faster assessment compared to conventional contour-based methods.
Key Points
•
Threshold-based left ventricular segmentation provides time-efficient assessment of left ventricular parameters
•
The threshold-based method can discriminate between blood and papillary muscles
•
This method provides improved accuracy compared to aortic flow measurements as a reference</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-015-3952-4</identifier><identifier>PMID: 26267520</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Algorithms ; Automation ; Cardiac ; Diagnostic Radiology ; Feasibility Studies ; Female ; Heart Ventricles - pathology ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Magnetic Resonance Angiography - methods ; Magnetic resonance imaging ; Magnetic Resonance Imaging, Cine ; Magnetic Resonance Spectroscopy ; Male ; Medicine ; Medicine & Public Health ; Methods ; Middle Aged ; Myocardium - pathology ; Neuroradiology ; Observer Variation ; Radiology ; Reproducibility of Results ; Stroke Volume - physiology ; Ultrasound ; Ventricular Dysfunction, Left - pathology ; Ventricular Dysfunction, Left - physiopathology</subject><ispartof>European radiology, 2016-05, Vol.26 (5), p.1503-1511</ispartof><rights>European Society of Radiology 2015</rights><rights>European Society of Radiology 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763</citedby><cites>FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26267520$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Varga-Szemes, Akos</creatorcontrib><creatorcontrib>Muscogiuri, Giuseppe</creatorcontrib><creatorcontrib>Schoepf, U. Joseph</creatorcontrib><creatorcontrib>Wichmann, Julian L.</creatorcontrib><creatorcontrib>Suranyi, Pal</creatorcontrib><creatorcontrib>De Cecco, Carlo N.</creatorcontrib><creatorcontrib>Cannaò, Paola M.</creatorcontrib><creatorcontrib>Renker, Matthias</creatorcontrib><creatorcontrib>Mangold, Stefanie</creatorcontrib><creatorcontrib>Fox, Mary A.</creatorcontrib><creatorcontrib>Ruzsics, Balazs</creatorcontrib><title>Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements.
Methods
Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evaluate left ventricular (LV) volumes and mass (LVM) using conventional and threshold-based segmentations. Phase-contrast images were used to independently measure stroke volume (SV). LV parameters were evaluated by two independent readers.
Results
Evaluation times using the conventional and threshold-based methods were 8.4 ± 1.9 and 4.2 ± 1.3 min, respectively (
P
< 0.0001). LV parameters measured by the conventional and threshold-based methods, respectively, were end-diastolic volume (EDV) 146 ± 59 and 134 ± 53 ml; end-systolic volume (ESV) 64 ± 47 and 59 ± 46 ml; SV 82 ± 29 and 74 ± 28 ml (flow-based 74 ± 30 ml); ejection fraction (EF) 59 ± 16 and 58 ± 17 %; and LVM 141 ± 55 and 159 ± 58 g. Significant differences between the conventional and threshold-based methods were observed in EDV, ESV, and LVM mesurements; SV from threshold-based and flow-based measurements were in agreement (
P
> 0.05) but were significantly different from conventional analysis (
P
< 0.05). Excellent inter-observer agreement was observed.
Conclusions
Threshold-based LV segmentation provides improved accuracy and faster assessment compared to conventional contour-based methods.
Key Points
•
Threshold-based left ventricular segmentation provides time-efficient assessment of left ventricular parameters
•
The threshold-based method can discriminate between blood and papillary muscles
•
This method provides improved accuracy compared to aortic flow measurements as a reference</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Cardiac</subject><subject>Diagnostic Radiology</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Heart Ventricles - pathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Magnetic Resonance Angiography - methods</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging, Cine</subject><subject>Magnetic Resonance Spectroscopy</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Myocardium - pathology</subject><subject>Neuroradiology</subject><subject>Observer Variation</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Stroke Volume - physiology</subject><subject>Ultrasound</subject><subject>Ventricular Dysfunction, Left - pathology</subject><subject>Ventricular Dysfunction, Left - physiopathology</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kU1vFSEUhomxsde2P8CNmcSNG-wBZoBZmpv6kTRxo2vCAHMvzQAVmMVd-8flOtUYE1cn5DzvS3IehF4ReEcAxG0BYAwwkAGzcaC4f4Z2pGcUE5D9c7SDkUksxrG_RC9LeQCAkfTiBbqknHIxUNihH_vFR2_00s1OFz_5xddTl-ZOd-GUjM7Wt13xh9iGj9XFcgbqMbtyTIvFky7OdsUFj_VaU9C1Pbec6YI-RFe96Rqdoo7GNfIQXKy6-hS74Oox2Wt0MeuluJuneYW-fbj7uv-E7798_Lx_f48NE7RiS6Tkk-vdRCW3ggtDzDBoaTgwaYEO3FLKNGd8NGLkmtJh7gH4LKeRG8HZFXq79T7m9H11pargi3HLoqNLa1FEiBEoJYI09M0_6ENac7vBL0oyTgcCjSIbZXIqJbtZPWYfdD4pAupsSG2GVDOkzoZU3zKvn5rXKTj7J_FbSQPoBpS2igeX__r6v60_AS-ZnNo</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Varga-Szemes, Akos</creator><creator>Muscogiuri, Giuseppe</creator><creator>Schoepf, U. Joseph</creator><creator>Wichmann, Julian L.</creator><creator>Suranyi, Pal</creator><creator>De Cecco, Carlo N.</creator><creator>Cannaò, Paola M.</creator><creator>Renker, Matthias</creator><creator>Mangold, Stefanie</creator><creator>Fox, Mary A.</creator><creator>Ruzsics, Balazs</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20160501</creationdate><title>Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method</title><author>Varga-Szemes, Akos ; Muscogiuri, Giuseppe ; Schoepf, U. Joseph ; Wichmann, Julian L. ; Suranyi, Pal ; De Cecco, Carlo N. ; Cannaò, Paola M. ; Renker, Matthias ; Mangold, Stefanie ; Fox, Mary A. ; Ruzsics, Balazs</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Automation</topic><topic>Cardiac</topic><topic>Diagnostic Radiology</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Heart Ventricles - pathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Magnetic Resonance Angiography - methods</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging, Cine</topic><topic>Magnetic Resonance Spectroscopy</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Myocardium - pathology</topic><topic>Neuroradiology</topic><topic>Observer Variation</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Stroke Volume - physiology</topic><topic>Ultrasound</topic><topic>Ventricular Dysfunction, Left - pathology</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Varga-Szemes, Akos</creatorcontrib><creatorcontrib>Muscogiuri, Giuseppe</creatorcontrib><creatorcontrib>Schoepf, U. Joseph</creatorcontrib><creatorcontrib>Wichmann, Julian L.</creatorcontrib><creatorcontrib>Suranyi, Pal</creatorcontrib><creatorcontrib>De Cecco, Carlo N.</creatorcontrib><creatorcontrib>Cannaò, Paola M.</creatorcontrib><creatorcontrib>Renker, Matthias</creatorcontrib><creatorcontrib>Mangold, Stefanie</creatorcontrib><creatorcontrib>Fox, Mary A.</creatorcontrib><creatorcontrib>Ruzsics, Balazs</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Varga-Szemes, Akos</au><au>Muscogiuri, Giuseppe</au><au>Schoepf, U. Joseph</au><au>Wichmann, Julian L.</au><au>Suranyi, Pal</au><au>De Cecco, Carlo N.</au><au>Cannaò, Paola M.</au><au>Renker, Matthias</au><au>Mangold, Stefanie</au><au>Fox, Mary A.</au><au>Ruzsics, Balazs</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2016-05-01</date><risdate>2016</risdate><volume>26</volume><issue>5</issue><spage>1503</spage><epage>1511</epage><pages>1503-1511</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements.
Methods
Short-axis cine images of 148 patients (55 ± 18 years, 81 men) were used to evaluate left ventricular (LV) volumes and mass (LVM) using conventional and threshold-based segmentations. Phase-contrast images were used to independently measure stroke volume (SV). LV parameters were evaluated by two independent readers.
Results
Evaluation times using the conventional and threshold-based methods were 8.4 ± 1.9 and 4.2 ± 1.3 min, respectively (
P
< 0.0001). LV parameters measured by the conventional and threshold-based methods, respectively, were end-diastolic volume (EDV) 146 ± 59 and 134 ± 53 ml; end-systolic volume (ESV) 64 ± 47 and 59 ± 46 ml; SV 82 ± 29 and 74 ± 28 ml (flow-based 74 ± 30 ml); ejection fraction (EF) 59 ± 16 and 58 ± 17 %; and LVM 141 ± 55 and 159 ± 58 g. Significant differences between the conventional and threshold-based methods were observed in EDV, ESV, and LVM mesurements; SV from threshold-based and flow-based measurements were in agreement (
P
> 0.05) but were significantly different from conventional analysis (
P
< 0.05). Excellent inter-observer agreement was observed.
Conclusions
Threshold-based LV segmentation provides improved accuracy and faster assessment compared to conventional contour-based methods.
Key Points
•
Threshold-based left ventricular segmentation provides time-efficient assessment of left ventricular parameters
•
The threshold-based method can discriminate between blood and papillary muscles
•
This method provides improved accuracy compared to aortic flow measurements as a reference</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26267520</pmid><doi>10.1007/s00330-015-3952-4</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2016-05, Vol.26 (5), p.1503-1511 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1779022171 |
| source | Springer Nature |
| subjects | Accuracy Algorithms Automation Cardiac Diagnostic Radiology Feasibility Studies Female Heart Ventricles - pathology Humans Imaging Internal Medicine Interventional Radiology Magnetic Resonance Angiography - methods Magnetic resonance imaging Magnetic Resonance Imaging, Cine Magnetic Resonance Spectroscopy Male Medicine Medicine & Public Health Methods Middle Aged Myocardium - pathology Neuroradiology Observer Variation Radiology Reproducibility of Results Stroke Volume - physiology Ultrasound Ventricular Dysfunction, Left - pathology Ventricular Dysfunction, Left - physiopathology |
| title | Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T19%3A30%3A01IST&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=Clinical%20feasibility%20of%20a%20myocardial%20signal%20intensity%20threshold-based%20semi-automated%20cardiac%20magnetic%20resonance%20segmentation%20method&rft.jtitle=European%20radiology&rft.au=Varga-Szemes,%20Akos&rft.date=2016-05-01&rft.volume=26&rft.issue=5&rft.spage=1503&rft.epage=1511&rft.pages=1503-1511&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-015-3952-4&rft_dat=%3Cproquest_cross%3E1779022171%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c372t-d1886be4eb286d767c1c55a8c6038d0256d223a6369c796a225f4006f8b96c763%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1778362510&rft_id=info:pmid/26267520&rfr_iscdi=true |