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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKuijf, Hugo
dc.contributor.authorDonno, Giulia De
dc.date.accessioned2022-08-18T01:00:35Z
dc.date.available2022-08-18T01:00:35Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/42334
dc.description.abstractAbnormalities 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.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIdentifying 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.titleInvestigation of cerebral vascular abnormalities in TOF-MRA brain images
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsUnruptured Intracranial Aneurysm (UIA); Aneurysm detection; Z-score; TOF-MRA; Atlas; Vessel abnormalities
dc.subject.courseuuMedical Imaging
dc.thesis.id8750


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