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Visualizing the Future

Center for Medical Image Science and Visualization (CMIV) is a multidisciplinary research center initiated by Linköping University, Region Östergötland and Sectra AB.

CMIV conducts focused front-line research within multidisciplinary projects providing solutions to tomorrow’s clinical issues. The mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

in focus



Assessment of Cardiovascular Blood Flow Using 4D Flow MRI

Despite the primacy of flow, cardiac diagnostics still rely almost exclusively on tools focused on morphological assessment. Flow characteristics are often assumed rather than measured directly. Suitable non-invasive tools for characterizing and measuring flow dynamics are needed to push our medical effectiveness to the next level.


Imaging of Brown Adipose Tissue

Through a unique collaboration between researchers at CMIV and Sahlgrenska University Hospital the role of brown fat is unraveled. While white adipose tissue (WAT) act as energy buffer, brown adipose tissue (BAT) converts stored energy (WAT) directly into heat. The vision is to find a way to reduce obesity related health problems.


Optimized flows and IT tools for digital pathology

In digital pathology the histology samples are scanned to create digital images of the tissue, which can be analyzed on a computer screen. While the pathologist is still responsible for the evaluation and diagnosis, the digital environment is a valuable tool for image analysis to detect, measure and grade diagnostic findings.


Nordic Symposium on Digital Pathology 2015

Successful meeting continues to grow


Article in JMCR

Consensus statement on 4D flow MRI

Visit from the Life Science Coordinator

Anders Lönnberg visited CMIV


The Visualization Table Awarded Prestigious Prize

The Dirk Bartz Prize for Visual Computing in Medicine 2015


Media Attention for Osteoporosis Dissertation


Dissertation Defense Johan Kälvesten

Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis

Page manager: marie.ahnstrom.waltersson@liu.se
Last updated: 2016-01-19