Обзорная статья

Overview of ADNI MRI

Clifford R. JackDepartment of Radiology Mayo Clinic Rochester Minnesota USAArvin AraniDepartment of Radiology Mayo Clinic Rochester Minnesota USABret BorowskiDepartment of Radiology Mayo Clinic Rochester Minnesota USADavid M. CashDementia Research Centre University College London Institute of Neurology, Queen Square London UKKaren CrawfordLaboratory of Neuro Imaging (LONI) University of Southern California Los Angeles California USASandhitsu R. DasDepartment of Neurology University of Pennsylvania Philadelphia Pennsylvania USACharles DeCarliDepartment of Neurology University of California Davis California USAEvan FletcherDepartment of Neurology University of California Davis California USANick C. FoxDementia Research Centre University College London Institute of Neurology, Queen Square London UKJeffrey L. GunterDepartment of Radiology Mayo Clinic Rochester Minnesota USARanjit IttyerahDepartment of Radiology University of Pennsylvania Philadelphia Pennsylvania USADanielle HarveyDepartment of Public Health Sciences Division of Biostatistics University of California Davis California USANeda JahanshadKeck School of Medicine of USC Los Angeles California USAPauline MaillardDepartment of Neurology University of California Davis California USAIan B. MaloneDementia Research Centre University College London Institute of Neurology, Queen Square London UKTalia M. NirKeck School of Medicine of USC Los Angeles California USARobert I. ReidDepartment of Radiology Mayo Clinic Rochester Minnesota USADenise A. ReyesDepartment of Radiology Mayo Clinic Rochester Minnesota USAChristopher G. SchwarzDepartment of Radiology Mayo Clinic Rochester Minnesota USAMatthew L. SenjemDepartment of Information Technology Mayo Clinic Rochester Minnesota USADavid L. ThomasDepartment of Brain Repair and Rehabilitation UCL Queen Square Institute of Neurology London UKPaul M. ThompsonLaboratory of Neuro Imaging (LONI) University of Southern California Los Angeles California USADuygu TosunDepartment of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USAPaul A. YushkevichDepartment of Radiology University of Pennsylvania Philadelphia Pennsylvania USAChadwick P. WardDepartment of Radiology Mayo Clinic Rochester Minnesota USAMichael W. WeinerDepartment of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USAAlzheimer's Disease Neuroimaging Initiative

2024en

ABI

Аннотация

The magnetic resonance imaging (MRI) Core has been operating since Alzheimer's Disease Neuroimaging Initiative's (ADNI) inception, providing 20 years of data including reliable, multi-platform standardized protocols, carefully curated image data, and quantitative measures provided by expert investigators. The overarching purposes of the MRI Core include: (1) optimizing and standardizing MRI acquisition methods, which have been adopted by many multicenter studies and trials worldwide and (2) providing curated images and numeric summary values from relevant MRI sequences/contrasts to the scientific community. Over time, ADNI MRI has become increasingly complex. To remain technically current, the ADNI MRI protocol has changed substantially over the past two decades. The ADNI 4 protocol contains nine different imaging types (e.g., three dimensional [3D] T1-weighted and fluid-attenuated inversion recovery [FLAIR]). Our view is that the ADNI MRI data are a greatly underutilized resource. The purpose of this paper is to educate the scientific community on ADNI MRI methods and content to promote greater awareness, accessibility, and use. HIGHLIGHTS: The MRI Core provides multi-platform standardized protocols, carefully curated image data, and quantitative analysis by expert groups. The ADNI MRI protocol has undergone major changes over the past two decades to remain technically current. As of April 25, 2024, the following numbers of image series are available: 17,141 3D T1w; 6877 FLAIR; 3140 T2/PD; 6623 GRE; 3237 dMRI; 2846 ASL; 2968 TF-fMRI; and 2861 HighResHippo (see Table 1 for abbreviations). As of April 25, 2024, the following numbers of quantitative analyses are available: FreeSurfer 10,997; BSI 6120; tensor based morphometry (TBM) and TBM-SYN 12,019; WMH 9944; dMRI 1913; ASL 925; TF-fMRI NFQ 2992; and medial temporal subregion volumes 2726 (see Table 4 for abbreviations). ADNI MRI is an underutilized resource that could be more useful to the research community.

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Идентификаторы

DOI: 10.1002/alz.14166

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Цитирований: 2Использованных источников: 0

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