Search liu.se
Search
Showing
1 - 10
of 54
hits
Loading results
Center for Medical Image Science and Visualization, CMIV
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.
Quantitative MRI of the Brain
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.
Employees
Visa alla
Simulation of Cardiac Blood Flow from CT
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.
Musculoskeletal Imaging Using Photon-Counting Computed Tomography
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.
Metabolic dysfunction-associated steatotic liver disease (MASLD)
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.
Effects of rTMS on alcohol use
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.
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.
EPSOMiP
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.
Bigpicture
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.
SCAPIS What and Why?
SCAPIS is a national population study where data has been collected at six sites in Sweden during 2013-2018.