Fractal analysis: A useful tool for neuropathology diagnostics

Herbert Jelinek, Clive Harper

Research output: Book chapter/Published conference paperConference paperpeer-review

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A variety of pathological changes have been described in the brains of chronic alcoholic patients. Imageprocessing using the fractal dimension (D) as a feature parameter provides a robust method to characterise andcompare the dendritic arborisation of cells of the superior frontal gyrus (Brodmann Area 8) and motor cortex(Brodmann Area 4) from controls and patients with alcoholism. Cells from BA8 in the control group weresignificantly different (D = 1.29) compared to cells from BA4 (D = 1.25) (n = 56; p = 0.003). D from alcoholictissue in BA8 was significantly lower compared to control (1.25 and 1.29; n = 51; p = 0.001). This was noted forBA4 as well (1.23 and 1.25; n = 54 p = 0.02). Fractal analysis distinguished between cells in BA8 and BA4 andidentified a difference in susceptibility to alcohol between the cells in these areas, BA8 showing a greaterdifference between control and cells of alcoholics for D compared to BA4.
Original languageEnglish
Title of host publicationIVCNZ07
Subtitle of host publicationImage and Vision Computing
EditorsCree Michael
Place of PublicationHamilton, New Zealand
PublisherUniversity of Waikato Press
Number of pages4
ISBN (Electronic)9780473130084
Publication statusPublished - 2007
EventImage and Vision Computing New Zealand (IVCNZ) International Conference - University of Waikato, Hamilton, New Zealand
Duration: 05 Dec 200707 Dec 2007 (conference proceedings)


ConferenceImage and Vision Computing New Zealand (IVCNZ) International Conference
Country/TerritoryNew Zealand
Internet address


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