Parametrization of sub egmental infarcts using high spatial resolution 2DSTE and synthetic ultrasonic data

Żmigrodzki, Jakub; Cygan, Szymon; Kałużyński, Krzysztof

doi:10.2478/pjmpe-2023-0021

Artykuł - szczegóły

Tytuł artykułu

Parametrization of sub egmental infarcts using high spatial resolution 2DSTE and synthetic ultrasonic data

Autorzy

Żmigrodzki Jakub , Cygan Szymon , Kałużyński Krzysztof

Wybrane pełne teksty z tego czasopisma

http://content.sciendo.com/view/journals/pjmpe/pjmpe-overview.xml

Identyfikatory

DOI

10.2478/pjmpe-2023-0021

Warianty tytułu

Języki publikacji

Abstrakty

Introduction: The purpose of this study was to assess the performance of a set of parameters in characterizing simulated infarcts in left ventricular (LV) models with variations in size and transmural extent. Material and methods: The deformation of the LV models with different infarct sizes was simulated using the Finite Element Method. These simulations provided meshes that were used to generate synthetic ultrasonic data within the FIELD II package. The strain components (longitudinal and circumferential) were then estimated over small subsegments of the of segments 7 and 12 (according to 17-segment left ventricle segmentation standard proposed by the American Heart Association - AHA17), using a hierarchical block matching method. The strain maps obtained were utilized to calculate the Strain Drop Factor (SDF) maps, which represent the percentage ratio of strain observed in the subsegments of the studied model to that observed in the healthy model. Infarct segmentation was performed using these maps, and various parameters were derived, including Infarct Cross-Section Area (ICSA), relative ICSA, Transmurality Ratio (TR), Mean Infarct Transmurality (MIT), strain drop factor in the infarcted region (SDFi), and Strain Contrast (SC). Results: The estimates of ICSA, SC, MIT, and SDFI showed good repeatability and demonstrated the ability to provide a quantitative assessment of the size and transmural extent of the infarcts. Conclusions: The study findings suggest that the evaluated parameters, including ICSA, SC, MIT, and SDFI, can be reliably used to assess the size and transmural extent of infarcts. These parameters offer a quantitative approach for characterizing infarcts based on strain analysis and have the potential to contribute to the diagnosis and evaluation of myocardial infarctions.

Słowa kluczowe

infarct area 2D Speckle Tracking Echocardiography synthetic ultrasonic data infarct segmentation non-transmural infarction

Wydawca

Polskie Towarzystwo Fizyki Medycznej
De Gruyter

Czasopismo

Polish Journal of Medical Physics and Engineering

Rocznik

2023

Tom

Vol. 29, Iss. 4

Strony

195--207

Opis fizyczny

Bibliogr. 62 poz., rys., tab.

Twórcy

autor

Żmigrodzki Jakub

jakub.zmigrodzki@pw.edu.pl

Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Poland

https://orcid.org/0000-0002-4107-0211

autor

Cygan Szymon

Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Poland

https://orcid.org/0000-0001-5125-8616

autor

Kałużyński Krzysztof

Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Poland

https://orcid.org/0000-0001-5640-9786

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

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Bibliografia

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