{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T16:14:27Z","timestamp":1790093667068,"version":"4.0.1"},"reference-count":41,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med. Technol."],"abstract":"<jats:p>Rupture risk estimation of abdominal aortic aneurysm (AAA) patients is currently based on the maximum diameter of the AAA. Mechanical properties that characterize the mechanical state of the vessel may serve as a better rupture risk predictor. Non-electrocardiogram-gated (non-ECG-gated) freehand 2D ultrasound imaging is a fast approach from which a reconstructed volumetric image of the aorta can be obtained. From this 3D image, the geometry, volume, and maximum diameter can be obtained. The distortion caused by the pulsatility of the vessel during the acquisition is usually neglected, while it could provide additional quantitative parameters of the vessel wall. In this study, a framework was established to semi-automatically segment probe tracked images of healthy aortas (<jats:italic>N<\/jats:italic>\u2009=\u200910) and AAAs (<jats:italic>N<\/jats:italic>\u2009=\u200916), after which patient-specific geometries of the vessel at end diastole (ED), end systole (ES), and at the mean arterial pressure (MAP) state were automatically assessed using heart frequency detection and envelope detection. After registration AAA geometries were compared to the gold standard computed tomography (CT). Local mechanical properties, i.e., compliance, distensibility and circumferential strain, were computed from the assessed ED and ES geometries for healthy aortas and AAAs, and by using measured brachial pulse pressure values. Globally, volume, compliance, and distensibility were computed. Geometries were in good agreement with CT geometries, with a median similarity index and interquartile range of 0.91 [0.90\u20130.92] and mean Hausdorff distance and interquartile range of 4.7 [3.9\u20135.6] mm. As expected, distensibility (Healthy aortas: 80\u2009\u00b1\u200915\u00b710<jats:sup>\u22123<\/jats:sup>\u2005kPa<jats:sup>\u22121<\/jats:sup>; AAAs: 29\u2009\u00b1\u20099.6\u00b710<jats:sup>\u22123<\/jats:sup>\u2005kPa<jats:sup>\u22121<\/jats:sup>) and circumferential strain (Healthy aortas: 0.25\u2009\u00b1\u20090.03; AAAs: 0.15\u2009\u00b1\u20090.03) were larger in healthy vessels compared to AAAs. Circumferential strain values were in accordance with literature. Global healthy aorta distensibility was significantly different from AAAs, as was demonstrated with a Wilcoxon test (<jats:italic>p<\/jats:italic>-value\u2009=\u20092\u00b710<jats:sup>\u22125<\/jats:sup>). Improved image contrast and lateral resolution could help to further improve segmentation to improve mechanical characterization. The presented work has demonstrated how besides accurate geometrical assessment freehand 2D ultrasound imaging is a promising tool for additional mechanical property characterization of AAAs.<\/jats:p>","DOI":"10.3389\/fmedt.2022.1052213","type":"journal-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T15:49:49Z","timestamp":1673365789000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Local and global distensibility assessment of abdominal aortic aneurysms in vivo from probe tracked 2D ultrasound images"],"prefix":"10.3389","volume":"4","author":[{"given":"Larissa C.","family":"Jansen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans-Martin","family":"Schwab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frans N.","family":"van de Vosse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc R. 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