Landau Susan M, Harrison Theresa M, Baker Suzanne L, Boswell Martin S, Lee JiaQie, Taggett Jacinda, Ward Tyler J, Chadwick Trevor, Murphy Alice, DeCarli Charles, Schwarz Christopher G, Vemuri Prashanthi, Jack Clifford R, Koeppe Robert A, Jagust William J
Neuroscience Department, University of California, Berkeley, California, USA.
Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Alzheimers Dement. 2025 Jan;21(1):e14378. doi: 10.1002/alz.14378. Epub 2024 Nov 19.
A key goal of the Alzheimer's Disease NeuroImaging Initiative (ADNI) positron emission tomography (PET) Core is to harmonize quantification of β-amyloid (Aβ) and tau PET image data across multiple scanners and tracers.
We developed an analysis pipeline (Berkeley PET Imaging Pipeline, B-PIP) for ADNI Aβ and tau PET images and applied it to PET data from other multisite studies. Steps include image pre-processing, refacing, magnetic resonance imaging (MRI)/PET co-registration, visual quality control (QC), quantification of tracer uptake, and standardization of Aβ and tau standardized uptake value ratios (SUVrs) across tracers.
Measurements from 10,105 cross-sectional and longitudinal Aβ and tau PET scans acquired in several studies between 2010 and 2024 can be processed, harmonized, and directly merged across tracers and cohorts.
The B-PIP developed in ADNI is a scalable image harmonization approach used in several observational studies and clinical trials that facilitates rigorous Aβ and tau PET quantification and data sharing.
Quantitative results from ADNI Aβ and tau PET data are generated using a rigorous, scalable image processing pipeline This pipeline has been applied to PET data from several other large, multisite studies and trials Quantitative outcomes are harmonizable across studies and are shared with the scientific community.
阿尔茨海默病神经影像倡议（ADNI）正电子发射断层扫描（PET）核心的一个关键目标是使跨多个扫描仪和示踪剂的β-淀粉样蛋白（Aβ）和tau PET图像数据的量化标准化。
我们开发了一种用于ADNI Aβ和tau PET图像的分析流程（伯克利PET成像流程，B-PIP），并将其应用于其他多中心研究的PET数据。步骤包括图像预处理、重面、磁共振成像（MRI）/PET配准、视觉质量控制（QC）、示踪剂摄取量化以及跨示踪剂的Aβ和tau标准化摄取值比率（SUVrs）标准化。
2010年至2024年期间在多项研究中获取的10,105次横断面和纵向Aβ和tau PET扫描测量值可以进行处理、标准化，并直接跨示踪剂和队列合并。
ADNI中开发的B-PIP是一种可扩展的图像标准化方法，用于多项观察性研究和临床试验，有助于严格的Aβ和tau PET量化及数据共享。
使用严格、可扩展的图像处理流程生成ADNI Aβ和tau PET数据的定量结果。该流程已应用于其他多项大型多中心研究和试验的PET数据。定量结果在各研究之间具有可比性，并与科学界共享。
