An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.

Journal: Medical physics
Published Date: Nov 1, 2019

Abstract

PURPOSE: Segmentation of the left ventricle (LV), right ventricle (RV) cavities and the myocardium (MYO) from cine cardiac magnetic resonance (MR) images is an important step for diagnosis and monitoring cardiac diseases. Spatial context information may be highly beneficial for segmentation performance improvement. To this end, this paper proposes an iterative multi-path fully convolutional network (IMFCN) to effectively leverage spatial context for automatic cardiac segmentation in cine MR images.

Authors

  • Zongqing Ma
    College of Computer Science, Sichuan University, Chengdu 610065, People's Republic of China.
  • Xi Wu
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Qi Song
    ‡ College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Youbing Yin
    Department of Engineering, CuraCloud Corporation, Seattle, WA, USA.
  • Kunlin Cao
    Department of Engineering, CuraCloud Corporation, Seattle, WA, USA.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Jiliu Zhou

Keywords

External Resources

Popular Topics
Recent Journals