MRI

MRI data is one component of the comprehensive data set collected in ADNI participants. The types of MRI data available to ADNI data users through the LONI IDA include:
MRI images in DICOM format
MRI images in DICOM format - All scans that have passed protocol compliance and quality control are available for download by qualified users and are accessible via the Image Data Archive.
Numerical summary data in tabular csv format
Numerical summary data in tabular csv format - quantitative summaries generated by MRI core analysis labs from the images available in the data archive.
Tables containing  detailed acquisition and quality control information
Tables containing detailed acquisition and quality control information for individual images and series.
For more details about MRI data collection processes and datasets, please consult these pages:
The MRI component of the ADNI data set is rich and complex, and protocols have evolved over time. This page provides a brief high-level overview of how MRI scans have been acquired, processed, and analyzed throughout the course of the ADNI study.
Investigators can find more detailed information about the MRI data on the documentation page and the MRI section on the Documentation Page.
Investigators who have specific questions for the MRI core that are not addressed in any of the resources listed above can submit a question using the ask the experts feature.

Numeric Outputs

For Researchers who are interested in working with numerical summary tables rather than raw image data, ADNI has funded the following MRI core analysis labs to generate numeric summaries from the high-quality MRI data available in the data archive.

Below is a List of the MRI analysis methods. Anyone with an ADNI Data Archive account may view and download the analysis methods and the analyzed data. After logging in, click Download and Study Data to see all relevant ADNI documents available for download. View more on MRI Numeric Outputs page.

Image Acquisition

adni1

2004 – 2009

  • Focused on consistent longitudinal structural imaging on 1.5T scanners using T1- and dual echoT2-weighted sequences.
  • One-fourth of ADNI1 participants were also scanned using essentially the same protocol on 3T scanners.
adni1
1.5T Scanner
Participant Scan:
  1. 3 Plane Localizer
  2. Structural Sagittal T1
  3. Structural Sagittal T1
  4. REPEAT
  5. B1 Calibration – Head Coil (if applicable)
  6. B1 Calibration – Body Coil (if applicable)
  7. Axial PD/T2 Dual Echo
ADNIGO/2

2010 – 2016

  • Imaging was performed at 3T with T1-weighted imaging parameters similar to ADNI1.
  • In place of the dual echo T2-weighted image from ADNI1, 2D FLAIR and T2*-weighted imaging were added at all sites.
  • Both fully sampled and accelerated T1-weighted images were acquired in each imaging session.
  • Advanced imaging was included depending on scanner manufacturer:
    • GE: diffusion (dMRI) imaging
    • Philips: task-free resting state functional MRI (TF-fMRI)
    • Siemens: arterial spin labeling (ASL) blood flow imaging.
ADNIGO/2
3T Scanner
Participant Scan:
  1. 3 Plane Localizer
  2. Structural Sagittal T1
  3. Accelerated Structural Sagittal T1
  4. rsfMRI (Philips systems only)
  5. Axial T2-FLAIR
  6. Axial T2-Star
  7. Axial ASL Perfusion (Siemens systems only)
  8. Axial DTI Scan (GE systems only)
ADNI3

2016-2022

  • Imaging was captured exclusively on 3T scanners
  • dMRI, TF-fMRI, and ASL were included on all participants in ADNI3 protocol with a few site-wise exceptions
  • A two-tiered approach was created to accommodate the range of scanners for ADNI3: ‘ADNI3 Basic’ and ‘ADNI3 Advanced’ acquisitions were used for TF-fMRI and dMRI.
ADNI3
3T Scanner
Participant Scan:
  1. 3 Plane Localizer
  2. Accelerated Structural Sagittal T1
  3. Sagittal 3D FLAIR
  4. Axial T2 STAR
  5. Axial 2D/3D PASL
  6. Axial DTI
  7. Axial rsfMRI
  8. High Resolution Hippocampus Scan
ADNI4

2022 and beyond

  • Exclusively done on 3T scanners with a limit to scan duration to one hour.
  • MRI protocol allows for equivalent imaging sequences across vendor-platforms to maintain uniformity across all images captured for the study
  • includes 3D T1, 3D FLAIR, 3D T2 GRE, T2, DTI, ASL, and TF-fMRI imaging sequences.
ADNI4
3T Scanner
Participant Scan:
  1. 3 Plane Localizer
  2. Accelerated Structural Sagittal T1
    1. Compressed Sensed Accelerated Structural Sagittal T1 (where applicable)
  3. Sagittal 3D FLAIR
  4. Sagittal 3D T2
  5. Axial 2D/3D ME T2 GRE
  6. DTI
    1. Axial DTI PA (MB if applicable)
    2. Axial DTI AP (MB if applicable)
  7. ASL
    1. 3D Multi-PLD pCASL
    2. 3D Multi-PLD PASL
  8. Axial rsfMRI (MB if applicable)
  9. High Resolution Hippocampus Scan
The types of scans collected from each phase of the study are listed below : Slice thickness increased to cover phantom.
Phantom Scans

The ADNI1 Protocol also included a phantom scan, with localizer and MP-RAGE scans available. For the phantom MP-RAGE scans, slice thickness was increased to cover the phantom.

Clinical Findings

Every participant scan undergoes a local clinical read by an on-site radiologist/clinician at the MRI facility. Scan interpretations for diagnostic clinical purposes will not be provided by the MRI Core for ADNI4. However, medical MR findings are recorded and available as part of the quality control done by the ADIR Lab. These findings include identification of infarctions, evidence of prior surgery or TBI, MPH/CSF dynamics disorders, cerebral microbleeds, superficial siderosis, and other vascular abnormalities such as DVAs and prior parenchymal hemorrhage. It should be noted that clinical findings may also be indicators of complications of therapy such as CMBs (ARIA-H), vasogenic edema (ARIA-E), or MPH-like effects on CSF dynamics.

Scanner Changes
MR scanners routinely undergo upgrades. These can be relatively minor (software version) or major (hardware changes, e.g., head coil). In some cases, the scanner itself will be replaced at an ADNI site. We advise the following approach to the issue of scanner changes:
1
Assume that longitudinal within participant data is not compatible before vs after a change in scanner.
2
Assume that longitudinal within participant data is not compatible before vs after a major hardware change (e.g., change in head coil).
3
Assume that longitudinal within participant data maybe compatible before vs after a sofware version change but be advised that this may not be shown to be true eventually for some types of software changes.
Nearly all technical scanner information is available through MRI image DICOM headers. Thus, users are encouraged to employ scan-level technical scanner information as filters in data collections as seen necessary.
Recommended Image Data: Which Scans to Select?

For researchers interested in the imaging process as a whole, imaging files are available at every stage of pre- and post-processing. However, most researchers will prefer to use the scans that have undergone the maximum level of correction. For ADNI1 and early ADNI2, the MPRAGE files that have undergone gradwarping, intensity correction, and have been scaled for gradient drift using phantom data are recommended for use. For all ADNI4 data, it is recommended to use the chosen scan selected during the QC process.

Scans from ADNI1 have standardized data sets that require additional information to us, please see the MRI Image Data page.

MRI Core Contact Information + FAQs

Frequently Asked Questions: FAQs
MRI Core Ask the Experts: MRI Core Ask the Experts
ADNI MRI Core at Mayo Clinic (ADIR Lab): adnimri@mayo.edu

The MRI Core is responsible for all aspects of MRI imaging in ADNI, including determining specific MRI pulse sequence types and parameters for the ADNI protocol, which is updated every ADNI grant cycle, site qualification, protocol compliance, QA/QC of all MRI data, tracking all MRI data acquisition, processing, and performance of all MRI data processing.

The MRI Core will also utilize an array of ADNI data, including neuropsychological test results, genotyping, MRI morphometry and other biomarkers to investigate brain-behavior relationships in older adults with and without cognitive impairment.

2024 Alzheimer’s Disease Neuroimaging Initiative
This website is funded by the Alzheimer’s Disease Neuroimaging Initiative