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Abstract
Abdominal Aortic Aneurysm (AAA) is the focal dilation or widening of the infrarenal artery. It is a vascular disease commonly found in older adults with prevalence increasing steadily with age. The disease is often discovered by unrelated medical examinations and screenings due to its asymptomatic nature. People unaware of their condition may only find out after the catastrophic event of a ruptured AAA, where most patients will not survive if left untreated. The current clinical rupture risk indicator for AAA repair is a AAA diameter exceeding 5.5 cm. There are many limitations with the clinical rupture risk indicator due to its derivation coming from population statistics and not patient-specific circumstances. Computation of AAA wall stress using three-dimensional (3D) reconstructions of patient CT scans have often been used by researchers as a potential patient-specific rupture risk indicator. A property that has a great influence on the stress distribution and magnitude is the aortic wall thickness. Unfortunately, there are no validated, non-invasive methods for measuring aortic wall thickness of patients with AAA. Researchers have utilised either CT or MRI as input into their custom wall detection algorithms, however, there has not yet been a study which utilises both. Therefore, this study aims to develop a non-invasive, and patient-specific method of detecting aortic wall thickness utilising both CT and MRI scans.
Original language | English |
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Title of host publication | Computational Biomechanics for Medicine |
Subtitle of host publication | Towards Translation and Better Patient Outcomes |
Editors | Poul M.F. Nielsen, Martyn P. Nash, Xinshan Li, Karol Miller, Adam Wittek |
Place of Publication | Cham |
Publisher | Springer |
Chapter | 1 |
Pages | 3-14 |
Number of pages | 12 |
ISBN (Electronic) | 9783031093272 |
ISBN (Print) | 9783031093265 |
DOIs | |
Publication status | Published - 1 Nov 2022 |
Event | Medical Image Computing and Computer Assisted Intervention 2021 - Strasbourg, France Duration: 27 Sept 2021 → 1 Oct 2021 |
Conference
Conference | Medical Image Computing and Computer Assisted Intervention 2021 |
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Abbreviated title | MICCAI 2021 |
Country/Territory | France |
City | Strasbourg |
Period | 27/09/21 → 1/10/21 |
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Dive into the research topics of 'Towards Accurate Measurement of Abdominal Aortic Aneurysm Wall Thickness from CT and MRI'. Together they form a unique fingerprint.Projects
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Biomechanics meets Phenomics: Towards understanding and predicting abdominal aortic aneurysm (AAA) disease progression
Miller, K. (Investigator 01), Richards, T. (Investigator 02), Wittek, A. (Investigator 04) & Gray Whiley, N. (Investigator 06)
NHMRC National Health and Medical Research Council
11/01/21 → 24/12/25
Project: Research