Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements

Giorgos Papanastasiou, Victor Gonzalez- Castro, Calum Gray, Rachael Forsythe, Georgia Sourgia-koutraki, Neil Mitchard, David Newby, Scott Semple

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

Volumetric and 3D tortuosity, curvature and asymmetry measurements were assessed for the first time from magnetic resonance (MR) data against ultrasound (US)-derived diameters, in a pilot cohort of 26 patients with abdominal aortic aneurysm (AAA) disease. We demonstrated that MR multidimensional analysis can better detect morphologic aneurysmal differences over time compared to diameters extracted from US imaging, which is the current clinical standard method for assessing AAA progression. Our 3D descriptors correlated more strongly with MR volumes, compared to US diameters at baseline and over time. Following further assessments in a larger patient cohort, this multidimensional analysis may enhance rupture risk prediction and improve clinical decision making.
Original languageEnglish
Title of host publicationMedical Image Understanding and Analysis
Subtitle of host publication21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings
EditorsMaría Valdés Hernández, Víctor González-Castro
PublisherSpringer
Pages133-143
ISBN (Print) 978-3-319-60963-8
DOIs
Publication statusPublished - 2017

Publication series

NameCommunications in Computer Science and Information
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

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