Transcranial MR Imaging-Guided Focused Ultrasound Interventions Using Deep Learning Synthesized CT.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Transcranial MR imaging-guided focused ultrasound is a promising novel technique to treat multiple disorders and diseases. Planning for transcranial MR imaging-guided focused ultrasound requires both a CT scan for skull density estimation and treatment-planning simulation and an MR imaging for target identification. It is desirable to simplify the clinical workflow of transcranial MR imaging-guided focused ultrasound treatment planning. The purpose of this study was to examine the feasibility of deep learning techniques to convert MR imaging ultrashort TE images directly to synthetic CT of the skull images for use in transcranial MR imaging-guided focused ultrasound treatment planning.

Authors

  • P Su
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland.
  • S Guo
    Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China),College of Mathematics and Computer Science,Hunan Normal University,Changsha,People's Republic of China.
  • S Roys
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland.
  • F Maier
    Siemens Healthcare GmbH (F.M.), Erlangen, Germany.
  • H Bhat
    Siemens Medical Solutions USA (P.S., H.B.), Malvern, Pennsylvania.
  • E R Melhem
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland.
  • D Gandhi
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland.
  • R P Gullapalli
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland.
  • J Zhuo
    From the Department of Diagnostic Radiology and Nuclear Medicine (P.S., S.G., S.R., E.R.M., D.G., R.G., J.Z.), University of Maryland School of Medicine, Baltimore, Maryland jzhuo@umm.edu.