Quantification of Left Atrium Fibrosis From Late Gadolinium Enhanced MRI in Atrial Fibrillation

التفاصيل البيبلوغرافية
العنوان: Quantification of Left Atrium Fibrosis From Late Gadolinium Enhanced MRI in Atrial Fibrillation
المؤلفون: Andalò, Alice, Fabbri, Claudio, Valinoti, Maddalena, Masci, Alessandro, Corsi, Cristiana
المساهمون: Andalò, Alice, Fabbri, Claudio, Valinoti, Maddalena, Masci, Alessandro, Corsi, Cristiana
سنة النشر: 2018
المجموعة: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
مصطلحات موضوعية: left atrium, RFA, fibrosis
الوصف: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is a recent technique used for fibrosis distribution assessment in the left atrium (LA) wall. Unfortunately, LGE-MRI analysis does not rely on a standardized image processing protocol. The aim of the study was to compare different methods to quantify fibrosis in the LA in the 3D domain. LGE-MRI from 60 AF patients were analyzed applying five different approaches for fibrosis segmentation: an histogrambased (H-6SD), the image intensity ratio (IIR), the blood pool normalization (BP), the Chan-Vese (CV) and the graph-cut (GC) method. For each method we quantified the percentage of fibrosis with respect to the entire LA wall mass. Results showed these five approaches can be divided in two groups; the group composed by the H6SD, CV and GC is characterized similar results (mean coefficient of variation=0.3), while the results obtained applying BP and IIR strongly depend on the quality of the acquisition (mean coefficient of variation=0. 62). Utah stage classification resulted in a wide disagreement (22/60 patients, 37%) among BP and IIR. The two approaches which best matched the Utah classification were the CV and GC (49/60 patients, 82%). This study confirmed the evaluation of the quantification method appears critical and further research is needed to define a satisfactory standard for atrial fibrosis segmentation.
نوع الوثيقة: conference object
وصف الملف: ELETTRONICO
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-0958-9; info:eu-repo/semantics/altIdentifier/wos/WOS:000482598700255; ispartofbook:Computing in Cardiology 2018 Proceedings; Computing in Cardiology 2018; volume:45; firstpage:1; lastpage:4; numberofpages:4; http://hdl.handle.net/11585/661920Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85068758476
DOI: 10.22489/CinC.2018.393
الإتاحة: https://doi.org/10.22489/CinC.2018.393Test
http://hdl.handle.net/11585/661920Test
رقم الانضمام: edsbas.61458479
قاعدة البيانات: BASE