Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.

Journal: Neuroradiology
Published Date:

Abstract

PURPOSE: While MRI is the modality of choice for the assessment of patients with brain tumors, differentiation between various tumors based on their imaging characteristics might be challenging due to overlapping imaging features. The purpose of this study was to apply a machine learning scheme using basic and advanced MR sequences for distinguishing different types of brain tumors.

Authors

  • Shai Shrot
    Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel, 2 Sheba Rd, 52621, Ramat Gan, Israel. Shai.Shrot@Sheba.health.gov.il.
  • Moshe Salhov
    School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
  • Nir Dvorski
    School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
  • Eli Konen
  • Amir Averbuch
    School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
  • Chen Hoffmann
    Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel, 2 Sheba Rd, 52621, Ramat Gan, Israel.