Deep Learning Detection and Segmentation of Brain Arteriovenous Malformation on Magnetic Resonance Angiography.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: May 23, 2023

Abstract

BACKGROUND: The delineation of brain arteriovenous malformations (bAVMs) is crucial for subsequent treatment planning. Manual segmentation is time-consuming and labor-intensive. Applying deep learning to automatically detect and segment bAVM might help to improve clinical practice efficiency.

Authors

  • Jia-Sheng Hong
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Weir-Chiang You
    Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung, 407, Taiwan.
  • Ming-Hsi Sun
    Department of Neurosurgery, Taichung Veterans General Hospital, Taichung, 407, Taiwan.
  • Hung-Chuan Pan
    Department of Neurosurgery, Taichung Veterans General Hospital, Taichung, 407, Taiwan.
  • Yi-Hui Lin
    School of Pharmacy, Kaohsiung Medical University, 100 Shihchuan 1st Rd., Kaohsiung, 80708, Taiwan.
  • Yung-Fa Lu
    Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung, 407, Taiwan.
  • Kuan-Ming Chen
    Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei City, 112, Taiwan.
  • Tzu-Hsuan Huang
    Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei City, 112, Taiwan.
  • Wei-Kai Lee
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Yu-Te Wu
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan. ytwu@ym.edu.tw.

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