Myocardial fibrosis delineation in late gadolinium enhancement images of Hypertrophic Cardiomyopathy patients using deep learning methods
Authors
Abstract:
Introduction: Accurate delineation of myocardial fibrosis in Late Gadolinium Enhancement on Cardiac Magnetic Resonance (LGE-CMR) has a crucial role in the assessment and risk stratification of HCM patients. As this is time-consuming and requires expertise, automation can be essential in accelerating this process. This study aims to use Unet-based deep learning methods to automate the mentioned process Methods: This study used three consecutive Unet-based networks for Region of Interest (ROI) detection, myocardial segmentation, and fibrosis delineation. The study was conducted on LGE images of 41 images diagnosed with HCM, which were contoured by two experts. Results: This model reported a Dice similarity coefficient and accuracy of 89.74 and 98.22 in myocardial segmentation and 88.42 and 94.66 in fibrosis delineation, respectively, and could outperform the previous methods Conclusion: The results confirm that using deep learning methods for delineating myocardial fibrosis not only can automate the process, but also helps improve the results and decrease the required time.
similar resources
Late gadolinium enhancement score (LGE-Score) for prediction of extensive late gadolinium enhancement in hypertrophic cardiomyopathy
Late gadolinium enhancement score (LGE-Score) for prediction of extensive late gadolinium enhancement in hypertrophic cardiomyopathy Raymond H Chan, Barry J Maron, Iacopo Olivotto, Gabriele Egidy Assenza, Tammy S Haas, John R Lesser, Christiane Gruner, Andrew Crean, Harry Rakowski, James E Udelson, Ethan J Rowin, Massimo Lombardi, Franco Cecchi, Benedetta Tomberli, Paolo Spirito, Francesco Form...
full textExuberant Pattern of Late Gadolinium Enhancement in Hypertrophic Cardiomyopathy
Patient aged 42, Caucasian, asymptomatic, with family history of HCM and diagnosis of the same cardiomyopathy 22 years ago. The 24-h Holter heart rhythm monitoring (April 5, 2012) showed sinus rhythm, rare atrial ectopic beats, presence of 2,970 isolated ventricular extrasystoles and five outbreaks of non-sustained ventricular tachycardia (NSVT), the longest one presenting 13 QRS complexes. Giv...
full textQuantitative analysis of late gadolinium enhancement in hypertrophic cardiomyopathy
BACKGROUND Cardiovascular magnetic resonance (CMR) with the late gadolinium enhancement (LGE) technique allows the detection of myocardial fibrosis in Hypertrophic cardiomyopathy (HCM). The aim of this study was to compare different methods of automatic quantification of LGE in HCM patients. METHODS Forty HCM patients (mean age 48 y, 30 males) and 20 normal subjects (mean age 38 y, 16 males) ...
full text[What is late gadolinium enhancement in hypertrophic cardiomyopathy?].
Hypertrophic cardiomyopathy (HCM) is a condition that can be defined in three ways: genetically, as caused by sarcomeric protein mutations; phenotypically by the presence of unexplained hypertrophy in the absence of afterload; and histologically by myocardial fibrosis, disarray, and small vessel disease. All these definitions have problems: only around half of HCM cases have an identifiable mut...
full textBio-imaging: late gadolinium enhancement in hypertrophic cardiomyopathy and its relation to novel biomarkers of fibrosis
Background Late gadolinium enhancement (LGE) accurately detects myocardial fibrosis in hypertrophic cardiomyopathy (HCM), which has been recently shown to be an independent risk factor for cardiac events in this setting. Endoglin is an accessory protein for the TGF-b receptor, which stimulates myocardial fibrosis through modulating the response to Angiotensin II. We sought to explore the relati...
full textMy Resources
Journal title
volume 25 issue 2
pages 139- 159
publication date 2022-07
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023