Feature-tracking-based strain analysis - a comparison of tracking algorithms
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 th...
Uloženo v:
| Vydáno v: | Polish journal of radiology Ročník 85; s. e97 |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Poland
2020
|
| Témata: | |
| ISSN: | 1733-134X |
| On-line přístup: | Zjistit podrobnosti o přístupu |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | 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.
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.
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 (
= 0.84), while correlation between tagging and blood myocardial border tracing (
= 0.36) and between the two feature-tracking software packages (
= 0.5) were considerably lower.
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. |
|---|---|
| AbstractList | 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.PURPOSEOptical 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.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.MATERIAL AND METHODSCSPAMM 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.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.RESULTSIntermodality/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.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.CONCLUSIONSThe 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. 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. 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. 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 ( = 0.84), while correlation between tagging and blood myocardial border tracing ( = 0.36) and between the two feature-tracking software packages ( = 0.5) were considerably lower. 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. |
| Author | Luetkens, Julian Sprinkart, Alois M Faron, Anton Dabir, Darius Thomas, Daniel Kuetting, Daniel |
| Author_xml | – sequence: 1 givenname: Daniel surname: Thomas fullname: Thomas, Daniel organization: University of Bonn, Germany – sequence: 2 givenname: Julian surname: Luetkens fullname: Luetkens, Julian organization: University of Bonn, Germany – sequence: 3 givenname: Anton surname: Faron fullname: Faron, Anton organization: University of Bonn, Germany – sequence: 4 givenname: Darius surname: Dabir fullname: Dabir, Darius organization: University of Bonn, Germany – sequence: 5 givenname: Alois M surname: Sprinkart fullname: Sprinkart, Alois M organization: University of Bonn, Germany – sequence: 6 givenname: Daniel surname: Kuetting fullname: Kuetting, Daniel organization: University of Bonn, Germany |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32467743$$D View this record in MEDLINE/PubMed |
| BookMark | eNo1kDFPwzAUhD0U0VK6MiKPLC5-tuPUI6ooIEVi6cAWObZTXBI72MnQf08l2ltOJ313w92hWYjBIfQAdF0AiOfhmNaMMrpWXAKdoQWUnBPg4muOVjkf6VkSuBTiFs05E7IsBV-gauf0OCVHxqTNjw8H0ujsLM7n7APWQXen7DMmWGMT-0Enn2PAscXXAtbdISY_fvf5Ht20ustudfEl2u9e99t3Un2-fWxfKmK4oiOBlivnCiMtcC5KXbS8aSW1ikGrNbMgrFWGUbNR1DQSDG02RlnnmDAGFFuip__ZIcXfyeWx7n02rut0cHHKNRN0A6qgtDijjxd0anpn6yH5XqdTfT2A_QELkV53 |
| CitedBy_id | crossref_primary_10_1002_nbm_5164 crossref_primary_10_5114_pjr_2021_112310 |
| ContentType | Journal Article |
| Copyright | Copyright © Polish Medical Society of Radiology 2020. |
| Copyright_xml | – notice: Copyright © Polish Medical Society of Radiology 2020. |
| DBID | NPM 7X8 |
| DOI | 10.5114/pjr.2020.93610 |
| DatabaseName | PubMed MEDLINE - Academic |
| DatabaseTitle | PubMed MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| ExternalDocumentID | 32467743 |
| Genre | Journal Article |
| GroupedDBID | 53G AAKDD ABDBF ACUHS ADBBV ADRAZ ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL DIK EAP EAS ESX HYE KQ8 M48 M~E NPM OK1 PGMZT RPM Y2W 7X8 |
| ID | FETCH-LOGICAL-c390t-1f39ee5c6d13347a5f3bf60d921faa2d14dd9c20c890cb61c0b8c9dee24cc192 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000520121300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1733-134X |
| IngestDate | Thu Oct 02 12:08:52 EDT 2025 Thu Jan 02 22:54:28 EST 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | myocardial strain non-rigid elastic image registration blood-myocardial border tracing optical flow feature tracking |
| Language | English |
| License | Copyright © Polish Medical Society of Radiology 2020. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c390t-1f39ee5c6d13347a5f3bf60d921faa2d14dd9c20c890cb61c0b8c9dee24cc192 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC7247018 |
| PMID | 32467743 |
| PQID | 2408195005 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2408195005 pubmed_primary_32467743 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-00-00 |
| PublicationDateYYYYMMDD | 2020-01-01 |
| PublicationDate_xml | – year: 2020 text: 2020-00-00 |
| PublicationDecade | 2020 |
| PublicationPlace | Poland |
| PublicationPlace_xml | – name: Poland |
| PublicationTitle | Polish journal of radiology |
| PublicationTitleAlternate | Pol J Radiol |
| PublicationYear | 2020 |
| SSID | ssj0000613644 |
| Score | 2.1335917 |
| Snippet | Optical flow feature-tracking (FT) strain assessment is increasingly being employed scientifically and clinically. Several software packages, employing... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | e97 |
| Title | Feature-tracking-based strain analysis - a comparison of tracking algorithms |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/32467743 https://www.proquest.com/docview/2408195005 |
| Volume | 85 |
| WOSCitedRecordID | wos000520121300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpZ25T8MwFMYtoAwsHOIql4zEauorTjwhhKgYoOrQIVvlPDscgqQ0KX8_dpKWCQmJJZuV6PnZ75fP1vsQunJOOcEkJ8JaQ2TONclULogFFlthPaMraMwm4tEoSVM97gS3qrtWudwTm43alhA08kFoxRUsS2l0M_skwTUqnK52FhrrqCc8yoQrXXGarDSWUKtU4-fKYiEIEzJt-zZ6ypCD2VvoB8rptRaK0d8Js6k0w53_fuMu2u4YE9-2SbGH1lyxjx4D7C3mjtRzA0EfJ6GAWVw1JhHYdM1JMMEGw8qcEJc5Xg7A5v3Zv61--agO0GR4P7l7IJ2VAgGhaU1YLrRzESjr_0llbKJcZLmiVnOWG8Mtk9Zq4BQSTSFTDGiWgLbOcQngIfAQbRRl4Y4RzpiI_Iw6TzZcZobrLBIQecjk1Hp4iPvochmbqc_UcPxgClcuqulPdProqA3wdNa21Jh6rFMeRMXJH0afoq0wba0OcoZ6uV-n7hxtwlf9Ws0vmhTwz9H46RsFm7ut |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Feature-tracking-based+strain+analysis+-+a+comparison+of+tracking+algorithms&rft.jtitle=Polish+journal+of+radiology&rft.au=Thomas%2C+Daniel&rft.au=Luetkens%2C+Julian&rft.au=Faron%2C+Anton&rft.au=Dabir%2C+Darius&rft.date=2020-01-01&rft.issn=1733-134X&rft.volume=85&rft.spage=e97&rft_id=info:doi/10.5114%2Fpjr.2020.93610&rft_id=info%3Apmid%2F32467743&rft_id=info%3Apmid%2F32467743&rft.externalDocID=32467743 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1733-134X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1733-134X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1733-134X&client=summon |