Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms

Abdominal aortic aneurysm consists of a permanent dilation in the abdominal portion of the aorta and, along with its associated pathologies like calcifications and intraluminal thrombi, is one of the most important pathologies of the circulatory system. The shape of the aorta is among the primary drivers for these health issues, with particular reference to all the characteristics which affect the hemodynamics. Starting from the computed tomography angiography of a patient, we propose to summarize such information using tools derived from Topological Data Analysis, obtaining persistence diagrams which describe the irregularities of the lumen of the aorta. We showcase the effectiveness of such shape-related descriptors with a series of supervised and unsupervised case studies.

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Publication Details

Journal
Scientific Reports
Published
2024-11-15
DOI
https://doi.org/10.1038/s41598-024-78301-w
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms

Maurizio Domanin, Piercesare Secchi, Santi Trimarchi, Dario Arnaldo Domanin et al.
Scientific Reports
Topological and Geometric Data Analysis
article

Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms

Maurizio Domanin, Piercesare Secchi, Santi Trimarchi, Dario Arnaldo Domanin, M. Pegoraro
article en

Abstract

Abdominal aortic aneurysm consists of a permanent dilation in the abdominal portion of the aorta and, along with its associated pathologies like calcifications and intraluminal thrombi, is one of the most important pathologies of the circulatory system. The shape of the aorta is among the primary drivers for these health issues, with particular reference to all the characteristics which affect the hemodynamics. Starting from the computed tomography angiography of a patient, we propose to summarize such information using tools derived from Topological Data Analysis, obtaining persistence diagrams which describe the irregularities of the lumen of the aorta. We showcase the effectiveness of such shape-related descriptors with a series of supervised and unsupervised case studies.

Scientific ReportsVol. 14(1)
University of Milan (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Aalborg University (DK), Politecnico di Milano (IT)
Danmarks Frie Forskningsfond, Ministero dell'Università e della Ricerca
Zero hunger
Openalex Percentile: Top 75%
Topological and Geometric Data Analysis
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