Segmentation with artificial intelligence and automated calculation of the corpus callosum index in multiple sclerosis.

Journal: Saudi medical journal
Published Date:

Abstract

OBJECTIVES: To determine the corpus callosum index (CCI) differences between chronic phase multiple sclerosis (MS) patients and healthy individuals and to evaluate the corpus callosum segmentation in MS patients using artificial intelligence technologies. The CCI can be reliably measured on magnetic resonance imaging (MRI) and has been proposed as a possible marker of brain atrophy in MS.

Authors

  • Selahattin Demirbas
    From the Department of Radiology (Demirbas), Corum Erol Olcok Training and Research Hospital; from Department of Radiology (Fidan), Faculty of Medicine, Hitit University, Corum; from the Department of Radiology (Karaali), Faculty of Medicine and from the Electrical And Electronics Engineering (Albayrak), Akdeniz University, Antalya, Turkey.
  • Kamil Karaali
    From the Department of Radiology (Demirbas), Corum Erol Olcok Training and Research Hospital; from Department of Radiology (Fidan), Faculty of Medicine, Hitit University, Corum; from the Department of Radiology (Karaali), Faculty of Medicine and from the Electrical And Electronics Engineering (Albayrak), Akdeniz University, Antalya, Turkey.
  • Yalcın Albayrak
    From the Department of Radiology (Demirbas), Corum Erol Olcok Training and Research Hospital; from Department of Radiology (Fidan), Faculty of Medicine, Hitit University, Corum; from the Department of Radiology (Karaali), Faculty of Medicine and from the Electrical And Electronics Engineering (Albayrak), Akdeniz University, Antalya, Turkey.
  • Nurdan Fidan
    From the Department of Radiology (Demirbas), Corum Erol Olcok Training and Research Hospital; from Department of Radiology (Fidan), Faculty of Medicine, Hitit University, Corum; from the Department of Radiology (Karaali), Faculty of Medicine and from the Electrical And Electronics Engineering (Albayrak), Akdeniz University, Antalya, Turkey.