The services offered by the Imaging Office are very versatile. Have a look at some example projects.

• Research infrastructure of the neuroimaging study within the large population-based Rotterdam Study, such as image data storage, workflow automation, tailored software development, and support in applying existing automated image analysis algorithms.

  

  Prof. Dr. Meike Vernooij

  Professor,

  Epidemiology & Radiology

• Using a custom-made plugin for ImageJ to analyse intracranial arteriosclerosis in a large population study of 1,000 native Bolivian citizens, and relate this to dementia.

  

  Dr. Sutherland & Dr. Barisano

  MemorialCare Health System & Stanford University

• Analysis of the Dutch Heart-Brain Connection Consortium brain imaging data (close to a 1000 scans). We have performed a series of studies using these data, improving our understanding of hemodynamic factors in vascular cognitive impairment, already generating well over 10 journal papers.

  

  Prof. Dr. Geert Jan Biessels

  Neurologist & professor,

  UMC Utrecht

• The development of specific software to interact with thorax CT and MRI scans in order to determine quantitative scores for diagnosis and prognosis of patients with lung diseases.

  

  Dr. Daan Caudri

  Director,

  LungAnalysis lab

• Automatic epicardial fat measurements on CT scans of the thorax and the heart in healthy individuals and patients for risk assessment of cardiovascular disease.

  

  Dr. Daniel Bos

  Epidemiologist

• Automatic brain volume and white matter hyperintensity measurements in around 1500 MRI scans of patients attending the Alzheimer Centre. Because of the success of the first project, a new project is intitiated that cover similar analyses on another 800 MRI scans.

  

  Dr. Frank Wolters

  Epidemiologist

• Automatic brain volume measurements in around 80 MRI scans of peadiatric patients with rare brain conditions for the ENCORE expertise center.

  

  Dr. Danielle Veenma

  Pediatrician

• Implementation of automatic tumor volume measurements for brain MRI scans in clinical practice.

  

  Prof. Dr. Marion Smits

  Neuro-radiologist

• Tailored software development to measure the length of the pineal gland cysts and height of the cerebellar tonsils on brain MRI scans of the Generation R population-based study.

  

  Drs. Marjolein Dremmen

  Pediatric Radiologist