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CMIV är ett tvärvetenskapligt forskningscentrum vid LiU, etablerat i samarbete med Region Östergötland och Sectra. Vårt uppdrag är att forma framtidens hälso- och sjukvård genom banbrytande forskning inom medicinsk bildanalys och visualisering.

Medical Digital Twin (MeDigiT) is a platform with the aim of facilitating the use of personalized digital models in healthcare. The platform is a meeting place for stakeholders in the subject of medical digital twins.

This project is focusing on Quantitative MRI of the brain. Quantitative MRI is a novel and promising technique for diagnose or prognose disease and to determine the choice of therapy, or to monitor the result of the chosen therapy.

Advanced CT creates amazing visualization of the beating heart. However, the complex interactions of blood flow are not fully reflected by these images. This project aims to extract blood flow data from CT images using image-based simulations.

This flagship is an umbrella project of several different research projects all involved in the new photon counting detector computed tomography (PCD-CT), which is especially well suited for musculoskeletal imaging.

Linus Ohlsson, at the department of Health, Medicine and Caring Sciences, defends her doctoral thesis with the title “The Assisted Heart: Function and flow during left ventricular assistance". Supervisor is professor Tino Ebbers, Linköping...

Metabolic dysfunction-associated steatotic liver disease (MASLD) previously known as non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease which has become the most common liver disease affecting adults and children.

Craving alcohol and an impaired ability to stop drinking despite adverse consequences are key features of alcohol addiction. This project aims to find a noninvasive brain stimulation method that can be used as treatment for addiction.

The research project EPSOMIP brings together a multidisciplinary team of researchers with a shared interest in exploring the link between fatty liver, epicardial fat, and cardiovascular disease in type 2 diabetes.

The 6-year, €70 million project called BIGPICTURE, will herald a new era in pathology and take AI development in pathology to the next level: we will develop the world’s biggest repository for sharing of pathology data.