Whole Brain Histogram Analysis for Amyloid PET
A semi‑quantitative analysis method for amyloid PET that does not require normalization
A semi‑quantitative analysis method for amyloid PET that does not require normalization
Our ANM's Paper on MRI‑Based WBHA
https://doi.org/10.1007/s12149-026-02218-9
https://link.springer.com/article/10.1007/s12149-026-02218-9
Linux Shell FSL Script for brain extraction, generate Top-20% map, and separate Top-20% map into grat matter and white matter (Step 4 to 8)
https://kakuigaku.info/share/PET_and_MRI_Brain_Extraction_SPM
MATLAB Script for generate Histogram, Skewness, MMR, and Top 20% GW-ratio (Step9)
https://kakuigaku.info/share/PET_Nifti_to_skewness_MMR_and_gwratio.m
MATLAB GUI Script for generate Histogram, Skewness, MMR, and Top 20% GW-ratio (Step9')
https://kakuigaku.info/share/WBHA_calculator_ver1.m
MATLAB GUI Application for generate Histogram, Skewness, MMR, and Top 20% GW-ratio (Step9')
https://kakuigaku.info/share/WBHA_calculator_ver1_for_Windows.zip
https://jp.mathworks.com/products/compiler/matlab-runtime.html (Version 2025a MATLAB runtime Recommended)
Lin4Neuro: A virtual environment that bundles the software required for brain extraction
https://www.nemotos.net/?page_id=29 (English)
https://www.nemotos.net/?page_id=161 (日本語)
Lin4Neuro (L4N) is based on Ubuntu with XFCE desktop environment. Lin4Neuro includes many useful neuroimaging software packages which developed by Dr. Kiyotaka Nemoto (https://researchmap.jp/k-nemoto?lang=en). The following FSL and SPM12 are also included.
FSL - FMRIB Software Library
https://fsl.fmrib.ox.ac.uk/fsl/docs/
FSL is used to generate mask images from MRI data segmented with SPM. It is also used to extract brain parenchyma from registered PET images, using the mask images created as described above.
SPM12
https://www.fil.ion.ucl.ac.uk/spm/software/spm12/
SPM is used to perform co‑registration and reslicing of PET and structural MRI images, as well as to segment MRI data.
Our labo website (Japanese)
https://www.fmu.ac.jp/education/medicine/department/rad/
Yamakuni's website
https://researchmap.jp/ryoyamakuni?lang=en