Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software
Objectives Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We...
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| Veröffentlicht in: | European radiology 2021-06, Vol.31 (6), p.3962-3972 |
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| creator | Lim, Carolin Blaszczyk, Edyta Riazy, Leili Wiesemann, Stephanie Schüler, Johannes von Knobelsdorff-Brenkenhoff, Florian Schulz-Menger, Jeanette |
| description | Objectives
Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults.
Methods
Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI
42
and TomTec. Longitudinal and radial
Long axis (LAX)
strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radial
Short axis (SAX)
strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package.
Results
We screened healthy volunteers studied at 1.5 or 3.0 T and included 67 (age 44.3 ± 16.3 years, 31 females). Circumferential and radial
SAX
strain values were different between a full coverage approach vs. three short slices (− 17.6 ± 1.8% vs. − 19.2 ± 2.3% and 29.1 ± 4.8% vs. 34.6 ± 7.1%). Different analysis software calculated significantly different strain values. Within the same vendor, different field strengths (− 17.0 ± 2.1% at 1.5 T vs. − 17.0 ± 1.7% at 3 T,
p
= 0.845) did not influence the calculated global longitudinal strain (GLS), and were similar in gender (− 17.4 ± 2.0% in females vs. − 16.6 ± 1.8% in males,
p
= 0.098). Circumferential and radial strain were different in females and males (circumferential strain − 18.2 ± 1.7% vs. − 17.1 ± 1.8%,
p
= 0.029 and radial strain 30.7 ± 4.7% vs. 27.8 ± 4.6%,
p
= 0.047).
Conclusions
Myocardial deformation assessed by feature tracking depends on segmentation procedure and type of analysis software. Circumferential
SAX
and radial
SAX
depend on the number of slices used for feature tracking analysis. As known from other imaging modalities, GLS seems to be the most stable parameter. During follow-up studies, standardized conditions should be warranted.
Trial registration
Retrospectively registered
Key Points
• Myocardial deformation assessed by feature tracking depends on the segmentation procedure.
• Global myocardial strain values differ significantly among vendors.
• Standardization in post-processing using |
| doi_str_mv | 10.1007/s00330-020-07539-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8128822</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2467613821</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-fb99537de3c355a818d88e26a194208ddecf8e30049a083c8b28c9da22cedc473</originalsourceid><addsrcrecordid>eNp9UsuKFTEQbURxrqM_4EICbty05tGPZCPI4KgwIIKuQ9109b25didjKj1yd37EfITf5ZeYmTuOj4WQIlB1zqkq6lTVY8GfC877F8S5UrzmskTfKlO3d6qVaJSsBdfN3WrFjdJ1b0xzVD0g2nHOjWj6-9WRUrLvu86squ8fFgjZj95B9jGwOLJ5Hx2kwcPEKCfwgQERljew9Z5dl-IFkFsmSGyGTcDsHUtIMUBwyEaEvCRkhes--7BhRWGLMOXtntGy3qHL9OPbpQ_jtOAVofQk3MwY8mEGCEMJmPbkiVEc81dI-LC6N8JE-OjmP64-nb7-ePK2Pnv_5t3Jq7PatQ3P9bg2plX9gMqptgUt9KA1yg6EaSTXw4Bu1Kg4bwxwrZxeS-3MAFI6HFzTq-Pq5UH3fFnPJVWmSjDZ8-RnSHsbwdu_K8Fv7SZeWC2k1lIWgWc3Ail-WZCynT05nCYIGBeysun6TigtRYE-_Qe6i0sqmxdUK7USTbljQckDyqVIlHC8HUZwe2UEezCCLUaw10awbSE9-XONW8qvyxeAOgColMIG0-_e_5H9CTCOxag</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2528314084</pqid></control><display><type>article</type><title>Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software</title><source>SpringerLink Journals - AutoHoldings</source><creator>Lim, Carolin ; Blaszczyk, Edyta ; Riazy, Leili ; Wiesemann, Stephanie ; Schüler, Johannes ; von Knobelsdorff-Brenkenhoff, Florian ; Schulz-Menger, Jeanette</creator><creatorcontrib>Lim, Carolin ; Blaszczyk, Edyta ; Riazy, Leili ; Wiesemann, Stephanie ; Schüler, Johannes ; von Knobelsdorff-Brenkenhoff, Florian ; Schulz-Menger, Jeanette</creatorcontrib><description>Objectives
Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults.
Methods
Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI
42
and TomTec. Longitudinal and radial
Long axis (LAX)
strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radial
Short axis (SAX)
strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package.
Results
We screened healthy volunteers studied at 1.5 or 3.0 T and included 67 (age 44.3 ± 16.3 years, 31 females). Circumferential and radial
SAX
strain values were different between a full coverage approach vs. three short slices (− 17.6 ± 1.8% vs. − 19.2 ± 2.3% and 29.1 ± 4.8% vs. 34.6 ± 7.1%). Different analysis software calculated significantly different strain values. Within the same vendor, different field strengths (− 17.0 ± 2.1% at 1.5 T vs. − 17.0 ± 1.7% at 3 T,
p
= 0.845) did not influence the calculated global longitudinal strain (GLS), and were similar in gender (− 17.4 ± 2.0% in females vs. − 16.6 ± 1.8% in males,
p
= 0.098). Circumferential and radial strain were different in females and males (circumferential strain − 18.2 ± 1.7% vs. − 17.1 ± 1.8%,
p
= 0.029 and radial strain 30.7 ± 4.7% vs. 27.8 ± 4.6%,
p
= 0.047).
Conclusions
Myocardial deformation assessed by feature tracking depends on segmentation procedure and type of analysis software. Circumferential
SAX
and radial
SAX
depend on the number of slices used for feature tracking analysis. As known from other imaging modalities, GLS seems to be the most stable parameter. During follow-up studies, standardized conditions should be warranted.
Trial registration
Retrospectively registered
Key Points
• Myocardial deformation assessed by feature tracking depends on the segmentation procedure.
• Global myocardial strain values differ significantly among vendors.
• Standardization in post-processing using CMR feature tracking is essential.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-020-07539-5</identifier><identifier>PMID: 33277669</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Cardiac ; Cardiology ; Chambers ; Circumferences ; Computer programs ; Deformation ; Diagnostic Radiology ; Ejection fraction ; Females ; Image acquisition ; Image segmentation ; Imaging ; Internal Medicine ; Interventional Radiology ; Magnetic resonance ; Males ; Mathematical analysis ; Medicine ; Medicine & Public Health ; Neuroradiology ; Post-production processing ; Radiology ; Resonance ; Software ; Standardization ; Tracking ; Ultrasound</subject><ispartof>European radiology, 2021-06, Vol.31 (6), p.3962-3972</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-fb99537de3c355a818d88e26a194208ddecf8e30049a083c8b28c9da22cedc473</citedby><cites>FETCH-LOGICAL-c540t-fb99537de3c355a818d88e26a194208ddecf8e30049a083c8b28c9da22cedc473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-020-07539-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-020-07539-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33277669$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lim, Carolin</creatorcontrib><creatorcontrib>Blaszczyk, Edyta</creatorcontrib><creatorcontrib>Riazy, Leili</creatorcontrib><creatorcontrib>Wiesemann, Stephanie</creatorcontrib><creatorcontrib>Schüler, Johannes</creatorcontrib><creatorcontrib>von Knobelsdorff-Brenkenhoff, Florian</creatorcontrib><creatorcontrib>Schulz-Menger, Jeanette</creatorcontrib><title>Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults.
Methods
Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI
42
and TomTec. Longitudinal and radial
Long axis (LAX)
strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radial
Short axis (SAX)
strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package.
Results
We screened healthy volunteers studied at 1.5 or 3.0 T and included 67 (age 44.3 ± 16.3 years, 31 females). Circumferential and radial
SAX
strain values were different between a full coverage approach vs. three short slices (− 17.6 ± 1.8% vs. − 19.2 ± 2.3% and 29.1 ± 4.8% vs. 34.6 ± 7.1%). Different analysis software calculated significantly different strain values. Within the same vendor, different field strengths (− 17.0 ± 2.1% at 1.5 T vs. − 17.0 ± 1.7% at 3 T,
p
= 0.845) did not influence the calculated global longitudinal strain (GLS), and were similar in gender (− 17.4 ± 2.0% in females vs. − 16.6 ± 1.8% in males,
p
= 0.098). Circumferential and radial strain were different in females and males (circumferential strain − 18.2 ± 1.7% vs. − 17.1 ± 1.8%,
p
= 0.029 and radial strain 30.7 ± 4.7% vs. 27.8 ± 4.6%,
p
= 0.047).
Conclusions
Myocardial deformation assessed by feature tracking depends on segmentation procedure and type of analysis software. Circumferential
SAX
and radial
SAX
depend on the number of slices used for feature tracking analysis. As known from other imaging modalities, GLS seems to be the most stable parameter. During follow-up studies, standardized conditions should be warranted.
Trial registration
Retrospectively registered
Key Points
• Myocardial deformation assessed by feature tracking depends on the segmentation procedure.
• Global myocardial strain values differ significantly among vendors.
• Standardization in post-processing using CMR feature tracking is essential.</description><subject>Cardiac</subject><subject>Cardiology</subject><subject>Chambers</subject><subject>Circumferences</subject><subject>Computer programs</subject><subject>Deformation</subject><subject>Diagnostic Radiology</subject><subject>Ejection fraction</subject><subject>Females</subject><subject>Image acquisition</subject><subject>Image segmentation</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Magnetic resonance</subject><subject>Males</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuroradiology</subject><subject>Post-production processing</subject><subject>Radiology</subject><subject>Resonance</subject><subject>Software</subject><subject>Standardization</subject><subject>Tracking</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UsuKFTEQbURxrqM_4EICbty05tGPZCPI4KgwIIKuQ9109b25didjKj1yd37EfITf5ZeYmTuOj4WQIlB1zqkq6lTVY8GfC877F8S5UrzmskTfKlO3d6qVaJSsBdfN3WrFjdJ1b0xzVD0g2nHOjWj6-9WRUrLvu86squ8fFgjZj95B9jGwOLJ5Hx2kwcPEKCfwgQERljew9Z5dl-IFkFsmSGyGTcDsHUtIMUBwyEaEvCRkhes--7BhRWGLMOXtntGy3qHL9OPbpQ_jtOAVofQk3MwY8mEGCEMJmPbkiVEc81dI-LC6N8JE-OjmP64-nb7-ePK2Pnv_5t3Jq7PatQ3P9bg2plX9gMqptgUt9KA1yg6EaSTXw4Bu1Kg4bwxwrZxeS-3MAFI6HFzTq-Pq5UH3fFnPJVWmSjDZ8-RnSHsbwdu_K8Fv7SZeWC2k1lIWgWc3Ail-WZCynT05nCYIGBeysun6TigtRYE-_Qe6i0sqmxdUK7USTbljQckDyqVIlHC8HUZwe2UEezCCLUaw10awbSE9-XONW8qvyxeAOgColMIG0-_e_5H9CTCOxag</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Lim, Carolin</creator><creator>Blaszczyk, Edyta</creator><creator>Riazy, Leili</creator><creator>Wiesemann, Stephanie</creator><creator>Schüler, Johannes</creator><creator>von Knobelsdorff-Brenkenhoff, Florian</creator><creator>Schulz-Menger, Jeanette</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</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>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210601</creationdate><title>Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software</title><author>Lim, Carolin ; Blaszczyk, Edyta ; Riazy, Leili ; Wiesemann, Stephanie ; Schüler, Johannes ; von Knobelsdorff-Brenkenhoff, Florian ; Schulz-Menger, Jeanette</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-fb99537de3c355a818d88e26a194208ddecf8e30049a083c8b28c9da22cedc473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cardiac</topic><topic>Cardiology</topic><topic>Chambers</topic><topic>Circumferences</topic><topic>Computer programs</topic><topic>Deformation</topic><topic>Diagnostic Radiology</topic><topic>Ejection fraction</topic><topic>Females</topic><topic>Image acquisition</topic><topic>Image segmentation</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Magnetic resonance</topic><topic>Males</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuroradiology</topic><topic>Post-production processing</topic><topic>Radiology</topic><topic>Resonance</topic><topic>Software</topic><topic>Standardization</topic><topic>Tracking</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Carolin</creatorcontrib><creatorcontrib>Blaszczyk, Edyta</creatorcontrib><creatorcontrib>Riazy, Leili</creatorcontrib><creatorcontrib>Wiesemann, Stephanie</creatorcontrib><creatorcontrib>Schüler, Johannes</creatorcontrib><creatorcontrib>von Knobelsdorff-Brenkenhoff, Florian</creatorcontrib><creatorcontrib>Schulz-Menger, Jeanette</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central 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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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Carolin</au><au>Blaszczyk, Edyta</au><au>Riazy, Leili</au><au>Wiesemann, Stephanie</au><au>Schüler, Johannes</au><au>von Knobelsdorff-Brenkenhoff, Florian</au><au>Schulz-Menger, Jeanette</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>31</volume><issue>6</issue><spage>3962</spage><epage>3972</epage><pages>3962-3972</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults.
Methods
Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI
42
and TomTec. Longitudinal and radial
Long axis (LAX)
strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radial
Short axis (SAX)
strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package.
Results
We screened healthy volunteers studied at 1.5 or 3.0 T and included 67 (age 44.3 ± 16.3 years, 31 females). Circumferential and radial
SAX
strain values were different between a full coverage approach vs. three short slices (− 17.6 ± 1.8% vs. − 19.2 ± 2.3% and 29.1 ± 4.8% vs. 34.6 ± 7.1%). Different analysis software calculated significantly different strain values. Within the same vendor, different field strengths (− 17.0 ± 2.1% at 1.5 T vs. − 17.0 ± 1.7% at 3 T,
p
= 0.845) did not influence the calculated global longitudinal strain (GLS), and were similar in gender (− 17.4 ± 2.0% in females vs. − 16.6 ± 1.8% in males,
p
= 0.098). Circumferential and radial strain were different in females and males (circumferential strain − 18.2 ± 1.7% vs. − 17.1 ± 1.8%,
p
= 0.029 and radial strain 30.7 ± 4.7% vs. 27.8 ± 4.6%,
p
= 0.047).
Conclusions
Myocardial deformation assessed by feature tracking depends on segmentation procedure and type of analysis software. Circumferential
SAX
and radial
SAX
depend on the number of slices used for feature tracking analysis. As known from other imaging modalities, GLS seems to be the most stable parameter. During follow-up studies, standardized conditions should be warranted.
Trial registration
Retrospectively registered
Key Points
• Myocardial deformation assessed by feature tracking depends on the segmentation procedure.
• Global myocardial strain values differ significantly among vendors.
• Standardization in post-processing using CMR feature tracking is essential.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33277669</pmid><doi>10.1007/s00330-020-07539-5</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2021-06, Vol.31 (6), p.3962-3972 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8128822 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Cardiac Cardiology Chambers Circumferences Computer programs Deformation Diagnostic Radiology Ejection fraction Females Image acquisition Image segmentation Imaging Internal Medicine Interventional Radiology Magnetic resonance Males Mathematical analysis Medicine Medicine & Public Health Neuroradiology Post-production processing Radiology Resonance Software Standardization Tracking Ultrasound |
| title | Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software |
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