Feature-tracking-based strain analysis : a comparison of tracking algorithms

2020
journal article
article
2
dc.abstract.enPurpose: Optical flow feature-tracking (FT) strain assessment is increasingly being employed scientifically and clinically. Several software packages, employing different algorithms, enable computation of FT-derived strains. The aim of this study is to investigate the impact of the underlying algorithm on the validity and robustness of FT-derived strain results. Material and methods: CSPAMM and SSFP cine sequences were acquired in 30 subjects (15 patients with aortic stenosis and associated secondary hypertrophic cardiomyopathy, and 15 controls) in identical midventricular short-axis locations. Global peak systolic circumferential strain (PSCS) was calculated using tagging and feature-tracking software with different algorithms (non-rigid, elastic image registration, and blood myocardial border tracing). Intermodality agreement and intra- as well inter-observer variability were assessed. Results: Intermodality/inter-algorithm comparison for global PSCS using Friedman’s test revealed statistically significant differences (tagging vs. blood myocardial border tracing algorithm). Intermodality assessment revealed the highest correlation between tagging and non-rigid, elastic image registration (r = 0.84), while correlation between tagging and blood myocardial border tracing (r = 0.36) and between the two feature-tracking software packages (r = 0.5) were considerably lower. Conclusions: The type of algorithm employed during feature-tracking strain assessment has a significant impact on the results. The non-rigid, elastic image registration algorithm produces more precise and reproducible results than the blood myocardium tracing algorithm.pl
dc.contributor.authorThomas, Danielpl
dc.contributor.authorLuetkens, Julianpl
dc.contributor.authorFaron, Antonpl
dc.contributor.authorDabir, Dariuspl
dc.contributor.authorSprinkart, Alois M.pl
dc.contributor.authorKuetting, Danielpl
dc.date.accessioned2020-04-21T14:30:12Z
dc.date.available2020-04-21T14:30:12Z
dc.date.issued2020pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e102-e103pl
dc.description.physicale97-e103pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume85pl
dc.identifier.doi10.5114/pjr.2020.93610pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/154270
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enmyocardial strainpl
dc.subject.enoptical flow feature trackingpl
dc.subject.enblood-myocardial border tracingpl
dc.subject.ennon-rigid elastic image registrationpl
dc.subtypeArticlepl
dc.titleFeature-tracking-based strain analysis : a comparison of tracking algorithmspl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Purpose: Optical flow feature-tracking (FT) strain assessment is increasingly being employed scientifically and clinically. Several software packages, employing different algorithms, enable computation of FT-derived strains. The aim of this study is to investigate the impact of the underlying algorithm on the validity and robustness of FT-derived strain results. Material and methods: CSPAMM and SSFP cine sequences were acquired in 30 subjects (15 patients with aortic stenosis and associated secondary hypertrophic cardiomyopathy, and 15 controls) in identical midventricular short-axis locations. Global peak systolic circumferential strain (PSCS) was calculated using tagging and feature-tracking software with different algorithms (non-rigid, elastic image registration, and blood myocardial border tracing). Intermodality agreement and intra- as well inter-observer variability were assessed. Results: Intermodality/inter-algorithm comparison for global PSCS using Friedman’s test revealed statistically significant differences (tagging vs. blood myocardial border tracing algorithm). Intermodality assessment revealed the highest correlation between tagging and non-rigid, elastic image registration (r = 0.84), while correlation between tagging and blood myocardial border tracing (r = 0.36) and between the two feature-tracking software packages (r = 0.5) were considerably lower. Conclusions: The type of algorithm employed during feature-tracking strain assessment has a significant impact on the results. The non-rigid, elastic image registration algorithm produces more precise and reproducible results than the blood myocardium tracing algorithm.
dc.contributor.authorpl
Thomas, Daniel
dc.contributor.authorpl
Luetkens, Julian
dc.contributor.authorpl
Faron, Anton
dc.contributor.authorpl
Dabir, Darius
dc.contributor.authorpl
Sprinkart, Alois M.
dc.contributor.authorpl
Kuetting, Daniel
dc.date.accessioned
2020-04-21T14:30:12Z
dc.date.available
2020-04-21T14:30:12Z
dc.date.issuedpl
2020
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e102-e103
dc.description.physicalpl
e97-e103
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
85
dc.identifier.doipl
10.5114/pjr.2020.93610
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/154270
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
myocardial strain
dc.subject.enpl
optical flow feature tracking
dc.subject.enpl
blood-myocardial border tracing
dc.subject.enpl
non-rigid elastic image registration
dc.subtypepl
Article
dc.titlepl
Feature-tracking-based strain analysis : a comparison of tracking algorithms
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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