Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.

Journal: BMC medical imaging
Published Date:

Abstract

OBJECTIVE: This prospective study aimed to assess the feasibility of a half-Fourier single-shot turbo spin echo sequence (HASTE) with deep learning (DL) reconstruction for ultrafast imaging of the bladder with reduced susceptibility to motion artifacts.

Authors

  • Li Yan
    Wenzhou Public Utilities Investment Group Co. Ltd., Wenzhou 325000, China. Electronic address: Vangji@126.com.
  • Qinxuan Tan
    Department of Radiology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany.
  • David Kohnert
    Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
  • Marcel Dominik Nickel
    MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
  • Elisabeth Weiland
    MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Felix Kubicka
    Department of Radiology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany.
  • Paul Jahnke
    Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany. paul.jahnke@charite.de.
  • Dominik Geisel
    Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Moritz Wagner
    Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
  • Thula Walter-Rittel
    Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany (L.V.N., M.L., T.U., D.D., D.G., F.K., M.W., T.W.R.). Electronic address: thula.walter-rittel@charite.de.