Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Bone MR imaging techniques enable visualization of cortical bone without the need for ionizing radiation. Automated conversion of bone MR imaging to synthetic CT is highly desirable for downstream image processing and eventual clinical adoption. Given the complex anatomy and pathology of the head and neck, deep learning models are ideally suited for learning such mapping.

Authors

  • S Bambach
    From the Abigail Wexner Research Institute at Nationwide Children's Hospital (S.B.), Columbus, Ohio.
  • M-L Ho
    Department of Radiology (M.-L.H.), Nationwide Children's Hospital, Columbus, Ohio. lan.ho@nationwidechildrens.org.