This webpage provides a detailed overview of the Whole-Brain Histogram Analysis (WBHA) method originally published in the Annals of Nuclear Medicine. Developed by Okuyama et al., WBHA represents a novel approach to brain PET image analysis. The methodology featured on this page introduces a newly advanced, MRI-based WBHA technique that builds directly upon the foundational work of Okuyama et al. Utilizing MRI allows for high-precision brain segmentation, which facilitates the calculation of standard quantitative measures of WBHA—specifically skewness and the mode-to-mean ratio (MMR)—alongside a novel quantitative metric: the Top 20% GW-ratio. When referencing this page for research presentations or academic papers, please cite both the original method by Okuyama et al. https://doi.org/10.1007/s12149-024-01956-y and our paper https://doi.org/10.1007/s12149-026-02218-9 .

Content

• What is WBHA ?

• Tutorial (How to Use) 

• Download & Link

News

August 2, 2026: Due to a bug identified during histogram generation, the previously released GUI version 1.0 has been withdrawn. Please use the latest version, 1.1. The script for the native MATLAB environment remains unaffected and contains no known issues. (Download & Link)