Int J CARS (2017) 12:1501–1510 DOI 10.1007/s11548-017-1591-8 ORIGINAL ARTICLE 1 1 2 2 Florent Lalys · Vincent Yan · Adrien Kaladji · Antoine Lucas · Simon Esneault Received: 11 January 2017 / Accepted: 18 April 2017 / Published online: 28 April 2017 © CARS 2017 Abstract of precision. Comparison with the level-set algorithm also Purpose Abdominal aortic aneurysm (AAA) is a localized, demonstrated the superiority of the 3D deformable model. permanent and irreversible enlargement of the artery, with the Average processing time was 8.2 ± 3.5s. formation of thrombus into the inner wall of the aneurysm. Conclusion We presented a near-automatic and generic A precise patient-speciﬁc segmentation of the thrombus is thrombus segmentation algorithm applicable to a large vari- useful for both the pre-operative planning to estimate the ability of patient and imaging conditions. When integrated rupture risk, and for post-operative assessment to monitor in an endovascular planning system, our segmentation algo- the disease evolution. This paper presents a generic approach rithm shows its compatibility with clinical routine and could for 3D segmentation of thrombus from patients suffering be used for pre-operative planning and post-operative assess- from AAA using computed tomography angiography (CTA) ment of endovascular procedures. scans. Methods
International Journal of Computer Assisted Radiology and Surgery – Springer Journals
Published: Apr 28, 2017
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