Design and development of a deformable and flow compliant aneurysm model for MRI experimentation: effects of turbulence in the MR signal at 3T using a phase contrast-quantitative flow MR protocol.
Shilo, Alexandra Katrina
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Cerebral aneurysms are pathological dilations or weakened bulges of the vasculature in the brain. Screening patients with a family history of aneurysms is common, but adds to the healthcare burden. Researchers estimate that unruptured aneurysms affect about 5% of the population. Aneurysm ruptures and the resultant hemorrhage can lead to death or significant functional impairment. It is estimated that up to 80% of hemorrhages in the brain result from intracranial aneurysms. The annual rupture rate for cerebral aneurysms has been reported to be approximately 2%. However, rupture rates have also been reported to significantly increase with aneurysm size, with an estimated 55% of cerebral aneurysms greater than 1Omm rupturing within a 10 year span. The mortality rate for patients that experience a ruptured cerebral aneurysm is reported to be approximately 47%. These patients are also at an increased risk of recurring hemorrhage. Annual lost wages for patients that experience a SAH and those that assist them have been estimated to be as high as 138,000,000 U.S. dollars. Therefore, it is important to understand potential risk factors for ruptures in order to better monitor stable or growing aneurysms and intervene at an appropriate time in order to prevent ruptures. Although trauma, family history, and hypertension are known to contribute to formation of aneurysms, factors that lead to their rupture are poorly understood. Literature suggests that large aneurysm size, smoking, excessive alcohol Annual lost wages for patients that experience a SAH and intake, hypertension, aneurysm wall structure, age, location, and intra-aneurysmal hemodynamics all play a potential role in rupture. Models are often used to study the effects that these factors have on a simulated aneurysm structure. [TRUNCATED]
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