文章基本信息

标题：Statistical Evaluation of Single-Photon Emission Computed Tomography Image Using Smoothed Bootstrap Method
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作者：Megumi Tsukamoto ; Asuka Hatabu ; Yoshitake Takahashi 等
期刊名称：Biological and Pharmaceutical Bulletin
印刷版ISSN：0918-6158
电子版ISSN：1347-5215
出版年度：2013
卷号：36
期号：3
页码：417-424
DOI：10.1248/bpb.b12-00843
出版社：The Pharmaceutical Society of Japan
摘要：Many of the neurodegenerative diseases associated with a decrease in regional cerebral blood flow (rCBF) are untreatable, and the appropriate therapeutic strategy is to slow the progression of the disease. Therefore, it is important that a definitive diagnosis is made as soon as possible when such diseases are suspected. Diagnostic imaging methods, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT), play an important role in such a definitive diagnosis. Since several problems arise when evaluating these images visually, a procedure to evaluate them objectively is necessary, and studies of image analyses using statistical evaluations have been suggested. However, the assumed data distribution in a statistical procedure may occasionally be inappropriate. Therefore, to evaluate the decrease of rCBF, it is important to use a statistical procedure without assumptions about the data distribution. In this study, we propose a new procedure that uses nonparametric or smoothed bootstrap methods to calculate a standardized distribution of the Z -score without assumptions about the data distribution. To test whether the judgment of the proposed procedure is equivalent to that of an evaluation based on the Z -score with a fixed threshold, the procedure was applied to a sample data set whose size was large enough to be appropriate for the assumption of the Z -score. As a result, the evaluations of the proposed procedure were equivalent to that of an evaluation based on the Z -score.
关键词：single-photon emission computed tomography;diagnostic imaging;bootstrap method