Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Dementia Classification by Distance Analysis from the Central Coronal Plane of the Brain Hippocampus

뇌 해마의 관상면 중심점으로부터 거리분석에 따른 치매분류

  • Choi, Boo-Kyeong (Dept. of Digital Anti-Aging Healthcare, u-AHRC, Inje University) ;
  • So, Jae-Hong (Dept. of Digital Anti-Aging Healthcare, u-AHRC, Inje University) ;
  • Son, Young-Ju (Dept. of Computer Engineering, u-AHRC, Inje University) ;
  • Madusanka, Nuwan (Dept. of Computer Engineering, u-AHRC, Inje University) ;
  • Choi, Heung-Kook (Center for Image Analysis, Uppsala University)
  • Received : 2018.01.05
  • Accepted : 2018.01.25
  • Published : 2018.02.28
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Abstract

Alzheimer's disease has the significant factors for the both specific and characteristic features according to the disease progressing that are the volumetry and surface area by the brain hippocampus shrinking and thinning. However, we have suggested a shape analysis to calculate the variance by the roughness, coarseness or uneven surface on 3D MR images. For the reasons we have presented two methods: the first method is the distance calculation from major axis to edge points and the second method is the distance calculation from centroidal point to edge points on a coronal plane. Then we selected the shortest distance and the longest distance in each slice and analyzed the ANOVA and average distances. Consequently we obtained the available and great results by the longest distance of the axial and centroidal point. The results of average distances were 44.85(AD), 45.04(MCI) and 49.31(NC) from the axial points and 39.30(AD), 39.58(MCI) and 44.78(NC) from centroidal points respectively. Finally the distance variations for the easily recognized visualization were shown by the color mapping. This research could be provided an indicator of biomarkers that make diagnosis and prognosis the Alzheimer's diseases in the future.

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