Building a quantitative MR database of the healthy population

Authors

  • Rachel Wang

Abstract

INTRODUCTION

Normative data, reflecting normal values of the healthy population, provides valuable information for clinical research. Depending on the specific region of interest, normative data can be used as a comparison when studying specific diseases. The purpose of this project is to build a database of quantitative magnetic resonance (MR) measurements of the brain in the healthy population. By doing so, this dataset can serve as control groups for studies of various neurological disorders. Once the normative data is collected, it is also important to understand the reliability and variability of the results obtained.

METHODS

The objective is to recruit 120 healthy participants between the ages of 18-89 (20 participants per age decade; 10 males and 10 females) to participate in the study. Exclusion criteria for the study include: a) history of neurological disorder, b) MR incompatible, c) claustrophobia, d) composite score below 27 on the Montreal Cognitive Assessment (MoCA). The MoCA is a sensitive tool for detecting mild cognitive impairment, which is administered by a qualified trainee during the study.

A series of quantitative MR measurements of the brain are acquire

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Published

2013-09-29

Issue

Section

Extended Abstracts