An aortic dissection is a life threatening cardiovascular disease, characterised by at least one tear in the inner layer of the aortic wall. Due to this tear, blood can enter in the aortic wall and a part of the wall can delaminate, thus separating the blood flow into a false (i.e. abnormal blood path) and true lumen (i.e. normal blood path). One of the common treatments for an aortic dissection is the placement of a stent graft to seal the tear and therefore stop the blood flow into the abnormal blood path. Despite the good survival rate, re-interventions after stent graft placement are still often needed. It would be very helpful if clinicians could predict if a stent graft placement would lead to a good result for a particular patient. It is therefore the aim of this project to develop and validate some of the software tools needed to make such predictions. Starting from the CT-scan that the patient gets when arriving in the hospital, a computer model of the aortic wall and blood flow in the true and false lumen will be set up. Next, the placement of the stent graft will be simulated and the effect of the intervention on the short term (what is the position of the graft and aorta?, and does the graft stop the blood flow in the false lumen?) and on the longer term (does the lesion grow?) will be predicted. The correctness of the models will be evaluated by comparing computer predictions with data from patients with a dissection that is treated with a stent graft.