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Biomedical Image Science
We develop methods & techniques for depicting anatomy & function in the human body & its organs. From imaging techniques, through methods of analysis and quantification of image information, to validation of new methods and image-based biomarkers
Center for Medical Image Science and Visualization (CMIV)
CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.
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Experiencing the Self through Touch
Through functional magnetic resonance imaging (fMRI) this project gathers information about the boundaries between the self and others and compares the outcome of the reactions of neurotypical volunteers with participants with a psychiatric disorder
AIDA
Analytic Imaging Diagnostics Arena (AIDA) is a national arena for research and innovation on analytic image-based diagnostics.
Equipment
Through unique collaborations with the industry, it is possible for CMIV to always have the latest and most advanced equipment. This is a prerequisite for the successful research carried out at CMIV
Nucleic Acids Technologies Lab
The Nucleic Acids Technologies Lab explores the use of nucleic acids as biorecognition molecules to develop highly specific and sensitive systems, with various detection modalities.
What Happens Now?
In December 2018 the national data collection was concluded as 30 000 individuals had been examined.
Endocrine tumors
Molecular genetic analysis of endocrine tumors (thyroid, parathyroid, adrenal, neuroendocrine): pathogenesis and development of metastases.
Seeing Organ Function
Seeing organ function (SOF) is a visionary project with ambitious goals. By starting with a medical problem we work interdisciplinary, linking medical research and clinical use with novel technique.
SCAPIS - The Swedish CArdioPulmonary bioImage Study
SCAPIS combines the use of new imaging technologies, advances in large-scale 'comics' and epidemiological analyses to extensively characterize a Swedish cohort of 30 000 men and women aged between 50 and 64 years.