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To reduce interpatient variance and to make the signal intensity consistent across the whole population, images are typically normalized.
In clinical care or clinical trials, population images may be used as a reference to classify individuals or patient groups into diagnostic categories [ 38, 50, 51].
Radiologists can play a key leadership role in providing the needed intuition to productively integrate the computational information from population images with personal medical information [ 38].
In their study 'Mental Health in the General Population: Images and Realities' Jetn-Luc Roelaldt et al. found a huge divide between the French public's conceptualizations of insanity and depression.
Advanced information technology (IT), which is increasingly influencing the practice of medicine, will aid clinical communication and the development of "population images" that represent the phenotype of particular diseases, which will aid the development of diagnostic algorithms.
In their ground-breaking study 'Mental Health in the General Population: Images and Realities' Jetn-Luc Roelaldt et al. [ 1, 2] provided a comprehensive description of how mental illness is perceived by the general public in France.
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The Rotterdam Study research lines currently applying imaging within the Population Imaging Unit are those on neurological diseases and cardiovascular diseases.
From August 2005 onwards (RS-II-2 and onwards), brain imaging in the Population Imaging Unit is performed in all study participants without contra-indications in the context of the Rotterdam Scan Study.
Main objective for the Population Imaging Unit with respect to brain imaging is therefore to identify and quantify brain imaging biomarkers that mark the development of neurodegenerative and cerebrovascular disease.
The main imaging modalities that are currently being applied in the Population Imaging Unit are multidetector computed tomography (MDCT) and magnetic resonance imaging (MRI).
The Population Imaging Unit within the Rotterdam Study aims to assess imaging biomarkers of disease in a pre-symptomatic phase at the population level.
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