Follow all the news from the lab and its community.1
Participation du CRMBM chaque année depuis la 19eme édition en 2017 Expo images du cerveau Interventions scolaires Encadrement d’étudiants Organisation de conférences et débats grand public dans tout Marseille
À l’occasion de la « journée internationale des femmes de science* », l’Institut Carnot STAR met à l’honneur une vingtaine de femmes de ses laboratoires de recherche à travers une série de mini-portraits.
In March 2018, CNRS released a WordPress based webkit, which is a new version of the old "Kit Labo". This new tool was created to harmonize all the CNRS labs' websites. We made use of it in order to refresh all the CRMBM external communication with this new website.
The next event of scientific outreach event will take place on April 26th, 2019, the Teachers meet Scientists Days in the laboratory to confront school teachers with scientific research.
The CRMBM has once again contributed to the "Fête de la Science" (Science Fair) event, on October 12-14, 2018 in Carpentras (France). It is a national event targeting the public and aimed at increasing awareness of our research field.
We are pleased to announce that we are hosting this year’s X-nuclei workshop at the CEMEREM lab (Marseille, France). The workshop will take place over two days : October, Thursday 18th 13h00 – Friday 19th 13h00.
This talk will summarize two of the translational MRI efforts in my lab. One is the application of arterial spin labeling (ASL) to the human heart. ASL is a non-contrast technique for measuring tissue perfusion, and could be extremely valuable in the assessment of ischemic heart disease, especially high-risk groups such as those with kidney failure. Cardiac ASL-MRI is challenging because of the heart’s motion, and complex geometry of the blood supply. The second project is the improvement of dynamic contrast enhanced (DCE) MRI of brain tumors. DCE-MRI is a potentially powerful technique for measuring kinetic parameters, which are important in determining progression of disease and effectiveness of treatments. Our work is focused on the use of sparse sampling and model-constrained reconstruction to produce a more comprehensive and reproducible test.