Automatic event detection within thrombus formation based on integer programming

Peter L, Pauly O, Jansen SB, Smethurst PA, Ouwehand WH, Navab N (2013)


Publication Type: Conference contribution

Publication year: 2013

Journal

Book Volume: 7766 LNCS

Pages Range: 215-224

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: FRA

ISBN: 9783642366192

DOI: 10.1007/978-3-642-36620-8_21

Abstract

After a blood vessel injury, blood platelets progressively aggregate on the damaged site to stop the resulting blood loss. This natural mechanism called thrombosis can however be prone to malfunctions and lead to the complete obstruction of the blood vessel. Thrombosis disorders play a crucial role in coronary artery diseases and the identification of genetic risk predispositions would therefore considerably help their diagnosis and therapy. In vitro experiments are conducted in this purpose by perfusing blood from several donors over a surface of collagen fibres, which results in the progressive attachment of platelets. Based on the segmentation over time of these aggregates called thrombi, we propose in this paper an automatic method combining tracking and event detection which allows the extraction of characteristics of interest for each thrombus growth individually, in order to find a potential correlation between these growth features and blood donors genetic disorders. We demonstrate the benefits of our approach and the accuracy of its results through an experimental validation. © 2013 Springer-Verlag.

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How to cite

APA:

Peter, L., Pauly, O., Jansen, S.B., Smethurst, P.A., Ouwehand, W.H., & Navab, N. (2013). Automatic event detection within thrombus formation based on integer programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 215-224). FRA.

MLA:

Peter, Loic, et al. "Automatic event detection within thrombus formation based on integer programming." Proceedings of the 2nd MICCAI Workshop on Medical Computer Vision, MICCAI-MCV 2012, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, FRA 2013. 215-224.

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