Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks.

Journal: Magnetic resonance imaging
PMID:

Abstract

PURPOSE: To develop a fast and accurate convolutional neural network based method for segmentation of thalamic nuclei.

Authors

  • Mohammad S Majdi
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States of America.
  • Mahesh B Keerthivasan
    Department of Medical Imaging, University of Arizona, Tucson, AZ, United States of America; Siemens Healthcare, Tucson, AZ, USA.
  • Brian K Rutt
    Department of Radiology, Stanford University, Stanford, CA, United States of America.
  • Natalie M Zahr
    Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford, California; Center for Biomedical Sciences, SRI International, Menlo Park, California.
  • Jeffrey J Rodriguez
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States of America.
  • Manojkumar Saranathan
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States of America; Department of Medical Imaging, University of Arizona, Tucson, AZ, United States of America. Electronic address: manojsar@radiology.arizona.edu.