Myocardial fibrosis delineation in late gadolinium enhancement images of Hypertrophic Cardiomyopathy patients using deep learning methods

نویسندگان

  • Langarizadeh , Mostafa Associate Professor, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran
  • Jahanshahi , Mahya M.Sc. Student, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran
  • khatibi , Toktam Associate Professor, School of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
چکیده مقاله:

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.

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عنوان ژورنال

دوره 25  شماره 2

صفحات  139- 159

تاریخ انتشار 2022-07

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