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[Evaluation of optimal threshold of Z score map for statistical brain image analysis]
Takayuki Sakai1, Hideo Onishi, Koji Miyazoe
11. Department of Radiology, Kyushu Rosai Hospital, Japan Labor Health and Welfare Organization; 2. Program in Health and Welfare Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima.
Purpose:
Aim of this study was to investigate optimal threshold of Z score when evaluating statistics image of Alzheimer's disease visually.
Method:
We classified 53 clinical patients in control and target group, and evaluated the distribution of Z score calculated with statistical brain image analysis for magnetic resonance and perfusion single photon emission computed tomography (SPECT). The optimal Z score threshold was determined from statistical significance that compared previously mentioned groups.
Results:
Target group was able to classify significantly Z score at 1.25 from control group in wide region of parietal lobe with statistical brain image analysis for perfusion SPECT.
Discussion:
The optimal threshold is equal or less than 2.0, in the case of Z score variance is close to the standard normal distribution. In contrast, the threshold is over 2.0 in the case of Z score variance is more than 1.0, and then by using ordinary threshold 2.0, it cannot point out abnormality.
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