Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

Journal: European journal of radiology
Published Date: Apr 1, 2021

Abstract

PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston score with those of visual gradings by radiologist readers for classification of AVC severity.

Authors

  • Suyon Chang
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Radiology, Center for Clinical Imaging Data Science, Research Institute of Radiological Sciences, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Hwiyoung Kim
    Department of Radiological Science, Yonsei University College of Medicine, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address: HYKIM82@yuhs.ac.
  • Young Joo Suh
    Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. rongzusuh@gmail.com.
  • Dong Min Choi
    Department of Radiology, Center for Clinical Imaging Data Science, Research Institute of Radiological Sciences, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Computer Science, Yonsei University, Seoul, Republic of Korea.
  • Hyunghu Kim
    Department of Radiology, Center for Clinical Imaging Data Science, Research Institute of Radiological Sciences, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Dong Kyu Kim
    Department of Radiology, Center for Clinical Imaging Data Science, Research Institute of Radiological Sciences, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jin Young Kim
    Department of Orthopaedic Surgery, Dongguk University Ilsan Hospital, Goyang, Korea.
  • Jin Young Yoo
    Department of Radiology, Chungbuk National University Hospital, Cheongju, Republic of Korea.
  • Byoung Wook Choi

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