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A Water Relaxation Atlas for Age- and Region-Specific Metabolite Concentration Correction at 3 T
Gizeaddis Lamesgin Simegn1,2, Yulu Song1,2, Saipavitra Murali-Manohar1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
NMR in Biomedicine
|December 11, 2024
Summary
This study created a brain water relaxometry atlas to improve magnetic resonance spectroscopy (MRS) quantification. The atlas provides age- and location-specific water relaxation values, reducing errors in metabolite concentration estimates.
Area of Science:
- Neuroimaging
- Biophysics
- Medical Physics
Background:
- Magnetic Resonance Spectroscopy (MRS) quantification typically uses water referencing, correcting for relaxation time differences.
- Standard methods often use fixed literature values for water relaxation times (T1 and T2) in different brain tissues.
- Water relaxation times vary significantly by brain location and age, introducing potential biases in current MRS studies.
Purpose of the Study:
- To develop a comprehensive water relaxometry atlas of the human brain.
- To integrate location- and age-specific water relaxation values into the MRS analysis workflow.
- To improve the accuracy of metabolite concentration estimates in MRS studies, particularly those focusing on aging.
Main Methods:
- Recruited 101 healthy volunteers across a range of adult ages (20s-60s).
- Acquired T1-weighted MPRAGE images and performed whole-brain water T1 and T2 mapping using DESPOT at 3T.
- Registered relaxation maps to the JHU MNI-SS/EVE atlas, calculated mean relaxation values per parcel, and generated age-dependent linear models to create reference atlases.
Main Results:
- Generated reference atlases for T1 and T2 relaxation times, detailing "age-30-intercept" and age-slope.
- The water relaxation aging atlas revealed significant regional and tissue-specific differences in water relaxation across adulthood.
- Integrated the atlas into the Osprey software for location- and age-appropriate water relaxation parameter calculation in MRS analysis.
Conclusions:
- The developed water relaxation aging atlas provides crucial location- and age-specific data for MRS quantification.
- Integrating these data into the MRS workflow addresses a key methodological limitation, reducing quantification biases.
- This approach is expected to enhance the reliability of metabolite concentration measurements, especially in aging research.

