Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation.

Journal: NeuroImage. Clinical
Published Date: Nov 5, 2019

Abstract

PURPOSE: Accurate lesion segmentation is important for measurements of lesion load and atrophy in subjects with multiple sclerosis (MS). International MS lesion challenges show a preference of convolutional neural networks (CNN) strategies, such as nicMSlesions. However, since the software is trained on fairly homogenous training data, we aimed to test the performance of nicMSlesions in an independent dataset with manual and other automatic lesion segmentations to determine whether this method is suitable for larger, multi-center studies.

Authors

  • M M Weeda
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands. Electronic address: m.weeda@amsterdamumc.nl.
  • I Brouwer
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands.
  • M L de Vos
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands.
  • M S de Vries
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands.
  • F Barkhof
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands; Institute of Neurology and Healthcare Engineering, UCL, London, UK.
  • P J W Pouwels
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands.
  • H Vrenken
    Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, De Boelelaan 1118, 1081 HV Amsterdam PO box 7057, Amsterdam 1007 MB, The Netherlands.

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