Concordance between computer-based neuroimaging findings and expert assessments in dementia grading


Iheme L. O., Ünay D., Baskaya O., Sennaz A., Kandemir M., Yalçiner Z. B., ...Daha Fazla

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Türkiye, 24 - 26 Nisan 2013, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2013.6531409
  • Basıldığı Şehir: Haspolat
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Central sulcus depth/width, Dementia grading, Expert assessment, Magnetic resonance imaging, Periventricular white matter hyperintensity, Sulcal atrophy, Ventricular enlargement
  • Kırklareli Üniversitesi Adresli: Evet

Özet

We present computer-based techniques for the measurement, detection and quantification of dementia related neuroimaging findings. The three focal points of these are: brain atrophy, lateral ventricle enlargement, and white matter hyperintensity (WMH) lesion detection and quantification. Research has shown that pathological changes in these three areas have strong correlations with dementia. Our proposed methods seek to provide consistent and accurate measures of these pathologies by applying advanced image processing techniques to brain MRIs. The results are evaluated by investigating correlations with experts' grades. We report correlations of up to 0.79, 0.70 and -0.24 for hemispheric cortical atrophy, central sulcus width, and central sulcus depth, respectively. For lateral ventricle (LV) enlargement, we obtain an LV-to-brain ratio correlation of up to 0.81 among other measurements. We automatically segment and quantify periventricular WMH lesions by adaptive thresholding and 3D connectivity analysis on fluid attenuation inversion recovery MRIs. A mean Dice score of 0.83 (standard deviation is 0.06), and a correlation score of up to 0.84 is obtained. © 2013 IEEE.