• DocumentCode
    152328
  • Title

    Comparison of cerebral atrophy grade with sizes of lateral ventricle and central sulci

  • Author

    Gokay, Gokhan ; Kandemir, Mahmut ; Tepe, M.S. ; Yalciner, Betul ; Unay, Devrim

  • Author_Institution
    Biyomedikal Muhendisligi Bolumu, Bahcesehir Univ., Istanbul, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    518
  • Lastpage
    521
  • Abstract
    Cerebral atrophy, which can be detected as ventricular enlargement or sulcal widening on magnetic resonance images, is one of the risk factors of dementia characterized as progressive impairment of memory and intellectual function beyond normal aging. To this end, the agreement between cerebral atrophy grade and the size (length and width) of lateral ventricles and central sulci is explored in this study. Atrophy grading is realized visually by a group of experts on magnetic resonance imaging data of 20 subjects with complaints of memory or cognitive ability. Whereas the latter is measured automatically and manually on the same data using image processing techniques. Results show that agreement with atrophy is more pronounced for lateral ventricle than central sulcus, and for the width than the length of both structures. Finally, both automated and manual measurements of lateral ventricle width show high agreement (around 0.9) with atrophy grades. Key Words: brain atrophy, expert grading, lateral ventricle, central sulcus, segmentation, automatic size measurement, correlation analysis.
  • Keywords
    biomedical MRI; blood vessels; brain; cognition; image segmentation; medical image processing; automated measurements; central sulci sizes; cerebral atrophy grade; cognitive ability; dementia risk factors; image processing techniques; intellectual function; lateral ventricle sizes; magnetic resonance imaging data; manual measurements; memory function; normal aging; progressive impairment; sulcal widening; ventricular enlargement; Aging; Alzheimer´s disease; Atrophy; Conferences; Image segmentation; Magnetic resonance imaging; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830279
  • Filename
    6830279