A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease

  • F. J. Martinez-Murcia
  • A. Ortiz
  • J. M. Górriz
  • J. Ramírez
  • I. A. Illán
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9107)


Alzheimer’s Disease (AD) is nowadays the most common type of dementia, with more than 35.6 million people affected, and 7.7 million new cases every year. Magnetic Resonance Imaging (MRI) is a fairly widespread tool used in clinical practice, and has repeatedly proven its utility in the diagnosis of AD. Therefore a number of automatic methods have been developed for the processing of MR images. In this work, a new algorithm that projects the three-dimensional image onto two-dimensional maps using Local Binary Patterns (LBP) is presented. The algorithm yields visually-assessable maps that contain the textural information and achieves up to a 90.5% accuracy in a differential diagnosis task (AD vs controls), which proves that the textural information retrieved by our methodology is significantly linked to the disease.


LBP SVM MRI Alzheimer’s Disease Projection 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • F. J. Martinez-Murcia
    • 1
  • A. Ortiz
    • 2
  • J. M. Górriz
    • 1
  • J. Ramírez
    • 1
  • I. A. Illán
    • 1
  1. 1.Department of Signal Theory, Networking and CommunicationsUniversidad of GranadaGranadaSpain
  2. 2.Department of Communications EngineeringUniversity of MálagaMálagaSpain

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