Szczegóły publikacji

Opis bibliograficzny

Segmentation of a first generation agent bubbles in the B-mode echocardiographic images / Joanna Sorysz, Danuta Sorysz, Adam PIÓRKOWSKI // W: Innovations and developments of technologies in medicine, biology and healthcare : proceedings of the IEEE EMBS International Student Conference (ISC) : [Zabrze, December 11–12, 2020] / ed. Natalia Piaseczna, Magdalena Gorczowska, Agnieszka Łach. — Cham : Springer Nature Switzerland, cop. 2022. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1360). — ISBN: 978-3-030-88975-3; e-ISBN: 978-3-030-88976-0. — S. 127–135. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-10-28

Autorzy (3)

Słowa kluczowe

echocardiographicPFOheartcontrastsegmentation

Dane bibliometryczne

ID BaDAP137392
Data dodania do BaDAP2021-11-05
DOI10.1007/978-3-030-88976-0_17
Rok publikacji2022
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Czasopismo/seriaAdvances in Intelligent Systems and Computing

Abstract

First-generation contrast agents are used in echocardiography to diagnose PFO (Patent Foramen Ovale). The degree of PFO is based on the number of bubbles found in the left atrium. This paper presents research on the preparation of an algorithm for the segmentation of first-generation contrast bubbles. To fulfill the research objective, the images were first preprocessed to reduce the influence of possible noise and artefacts; subsequently, binarization was performed and the segmentation of bubbles then occurred. The results were evaluated by the Dice coefficient. To obtain the best results, the following local thresholding methods were compared: Median, Sauvola, and SDA. The outcome was evaluated and the best values of the Dice coefficient were obtained with two local thresholding methods: the Median and the Sauvola algorithms.

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