Segmentation of Drosophila heart in optical coherence microscopy images using convolutional neural networks.

Journal: Journal of biophotonics
Published Date: Aug 6, 2018

Abstract

Convolutional neural networks (CNNs) are powerful tools for image segmentation and classification. Here, we use this method to identify and mark the heart region of Drosophila at different developmental stages in the cross-sectional images acquired by a custom optical coherence microscopy (OCM) system. With our well-trained CNN model, the heart regions through multiple heartbeat cycles can be marked with an intersection over union of ~86%. Various morphological and dynamical cardiac parameters can be quantified accurately with automatically segmented heart regions. This study demonstrates an efficient heart segmentation method to analyze OCM images of the beating heart in Drosophila.

Authors

  • Lian Duan
    Department of Medical Informatics, Nantong University, Nantong, Jiangsu, China.
  • Xi Qin
    National Institutes for Food and Drug Control, Beijing, 100050, China.
  • Yuanhao He
    Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.
  • Xialin Sang
    Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.
  • Jinda Pan
    School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China.
  • Tao Xu
    Department of Urology, Peking University People's Hospital, Beijing, China.
  • Jing Men
    Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania.
  • Rudolph E Tanzi
    Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Airong Li
    Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Yutao Ma
    State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China.
  • Chao Zhou
    Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.

Keywords

External Resources

Popular Topics
Recent Journals