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Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram.
Uwe Klose1, Marion Batra1, Thomas Nägele1
1Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.
Biomed Research International
|November 27, 2015
Summary
Brain apparent diffusion coefficient (ADC) histograms change with age. A new model effectively parameterizes these histograms, aiding in understanding age-related brain changes and disease.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Radiology
Background:
- Apparent Diffusion Coefficient (ADC) values reflect brain tissue characteristics.
- ADC histogram analysis can reveal age-related and pathological brain changes.
Purpose of the Study:
- To develop and apply an advanced model for parameterizing whole-brain ADC histograms.
- To investigate the influence of age on brain ADC histogram distribution.
Main Methods:
- Whole-brain ADC histograms were computed for subjects across seven age groups (10-80 years).
- A novel modeling approach was used, fitting brain tissue and other histogram components separately using Gaussian, biexponential, and linear functions.
Main Results:
- The proposed advanced model successfully and consistently fitted ADC histograms across all age groups.
- The study demonstrated a clear dependence of whole-brain ADC histogram parameters on subject age.
Conclusions:
- Whole-brain ADC histograms are significantly influenced by the age of individuals.
- The developed model provides a robust method for characterizing age-related changes in ADC histograms, applicable to studying neurological diseases.
