Generic thrombus segmentation from pre- and post-operative CTA

Generic thrombus segmentation from pre- and post-operative CTA 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by CARS
Subject
Medicine & Public Health; Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general
ISSN
1861-6410
eISSN
1861-6429
D.O.I.
10.1007/s11548-017-1591-8
Publisher site
See Article on Publisher Site

Abstract

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

Journal

International Journal of Computer Assisted Radiology and SurgerySpringer Journals

Published: Apr 28, 2017

References

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