Abstract

Imaging plays an essential role in research on neurological diseases in the elderly. The Rotterdam Scan Study was initiated as part of the ongoing Rotterdam Study with the aim to elucidate the causes of neurological disease by performing imaging of the brain in a prospective population-based setting. Initially, in 1995 and 1999, random subsamples of participants from the Rotterdam Study underwent neuroimaging, whereas from 2005 onwards MRI has been implemented into the core protocol of the Rotterdam Study. In this paper, we discuss the background and rationale of the Rotterdam Scan Study. Moreover, we describe the imaging protocol, image post-processing techniques, and the main findings to date. Finally, we provide recommendations for future research, which will also be topics of investigation in the Rotterdam Scan Study.

Highlights

  • Neurologic diseases in the elderly, such as dementia and stroke, will pose an ever increasing burden on societies over the couple of decades [1,2,3,4]

  • These developments allow for performing neuroimaging in larger sample sizes and using state-of-the-art imaging and processing techniques. This has paved the way for more in depth and thorough investigation of brain changes that can lead to neurological diseases. It was in this light, that in 1995 the Rotterdam Scan Study was initiated to investigate risk factors and risk indicators of neurological diseases in the elderly using MR imaging to visualize the underlying brain changes and brain pathology

  • Within the Rotterdam Scan Study, we have developed a graph cut framework for neurostructure segmentation [42] combining atlas registration and statistical models of image appearance [43], which currently has been implemented for hippocampus segmentation

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Summary

Introduction

Neurologic diseases in the elderly, such as dementia and stroke, will pose an ever increasing burden on societies over the couple of decades [1,2,3,4]. It was in this light, that in 1995 the Rotterdam Scan Study was initiated to investigate risk factors and risk indicators of neurological diseases in the elderly using MR imaging to visualize the underlying brain changes and brain pathology.

Results
Conclusion

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