Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke studies relying on infarct volumes as an imaging phenotype or biomarker that require large numbers of subjects. This study investigated whether an ensemble of convolutional neural networks trained on multiparametric DWI maps outperforms single networks trained on solo DWI parametric maps.

Authors

  • S Winzeck
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • S J T Mocking
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • R Bezerra
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • M J R J Bouts
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • E C McIntosh
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • I Diwan
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • P Garg
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • A Chutinet
    Departments of Neurology (A.C., W.T.K., H.A., A.B.S.).
  • W T Kimberly
    Departments of Neurology (A.C., W.T.K., H.A., A.B.S.).
  • W A Copen
    Radiology (W.A.C., P.W.S.), Massachusetts General Hospital, Boston, Massachusetts.
  • P W Schaefer
    Radiology (W.A.C., P.W.S.), Massachusetts General Hospital, Boston, Massachusetts.
  • H Ay
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • A B Singhal
    Departments of Neurology (A.C., W.T.K., H.A., A.B.S.).
  • K Kamnitsas
    Department of Computing (K.K., B.G.), Imperial College London, London, UK.
  • B Glocker
    Biomedical Image Analysis Group, Department of Computing, Huxley Building, 180 Queen's Gate, Imperial College London, London SW7 2AZ, UK.
  • A G Sorensen
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
  • O Wu
    From the Department of Radiology (S.W., S.J.T.M., R.B., M.J.R.J.B., E.C.M., I.D., P.G., H.A., A.G.S., O.W.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts ona@nmr.mgh.harvard.edu.