dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Kuijf, Hugo | |
dc.contributor.author | Donno, Giulia De | |
dc.date.accessioned | 2022-08-18T01:00:35Z | |
dc.date.available | 2022-08-18T01:00:35Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/42334 | |
dc.description.abstract | Abnormalities in the arterial system can lead to a series of cerebrovascular diseases including unruptured intracranial aneurysms (UIAs). UIAs are present in around 3% of the population, and upon rupture, 35% of cases result in death and most of the survivors are left with long-term disabilities. Aneurysms are usually small in size and vary greatly in shape and position in the vessel configuration. It is one of the reasons why up to 10% of UIAs are missed during screening. For this reason, in this study, an automatic atlas-based method of at-risk-areas and aneurysm detection is presented. The pipeline outputs a color-coded map that can be superimposed on the TOF-MRA image, indicating areas that diverge from the average healthy anatomy in the form of Z-scores. High Z-scores are potentially linked to the presence of abnormalities. This method was tested on 19 TOF-MRA containing one aneurysm above 5 mm in radius and 18 images with healthy anatomy. After preprocessing, the TOF-MRA underwent vessel segmentation and vessel radius calculation. The resulting image, as well as the preprocessed atlases registered to the patient’s space, are then used to calculate the Z-score maps. Using two different types of segmentation for evaluation, aneurysms were detected in up to 17 images out of 19. An analysis of the Z-scores in areas outside the segmentations showed no statistical differences compared to the Z-score map from healthy subjects. This method has the potential to be useful in a clinical setting, as well as research, as part of larger projects. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Identifying unruptured intracranial aneurysms (UIAs) is important for patient outcome. A healthy cerebral vascular atlas was used to generate Z-Score maps of vessel radius relative to patients and healthy controls. Patients with UIAs have significantly larger Z-scores than the controls; in 89% of patients, Z-scores values were significantly higher in the UIA than elsewhere in the brain vessels. This technique could aid radiologists in cerebral vascular assessment and UIA detection. | |
dc.title | Investigation of cerebral vascular abnormalities in TOF-MRA brain images | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Unruptured Intracranial Aneurysm (UIA); Aneurysm detection; Z-score; TOF-MRA; Atlas; Vessel abnormalities | |
dc.subject.courseuu | Medical Imaging | |
dc.thesis.id | 8750 | |