Statistical evaluation of single-photon emission computed tomography image using smoothed bootstrap method

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

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. © 2013 The Pharmaceutical Society of Japan.

Cite

CITATION STYLE

APA

Tsukamoto, M., Hatabu, A., Takahashi, Y., Matsuda, H., Okamoto, K., Yamashit, N., & Takagi, T. (2013). Statistical evaluation of single-photon emission computed tomography image using smoothed bootstrap method. Biological and Pharmaceutical Bulletin, 36(3), 417–424. https://doi.org/10.1248/bpb.b12-00843

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free