Automatic bifurcation detection in coronary IVUS sequences
- PMID: 22231146
- DOI: 10.1109/TBME.2011.2181372
Automatic bifurcation detection in coronary IVUS sequences
Abstract
In this paper, we present a fully automatic method which identifies every bifurcation in an intravascular ultrasound (IVUS) sequence, the corresponding frames, the angular orientation with respect to the IVUS acquisition, and the extension. This goal is reached using a two-level classification scheme: first, a classifier is applied to a set of textural features extracted from each image of a sequence. A comparison among three state-of-the-art discriminative classifiers (AdaBoost, random forest, and support vector machine) is performed to identify the most suitable method for the branching detection task. Second, the results are improved by exploiting contextual information using a multiscale stacked sequential learning scheme. The results are then successively refined using a-priori information about branching dimensions and geometry. The proposed approach provides a robust tool for the quick review of pullback sequences, facilitating the evaluation of the lesion at bifurcation sites. The proposed method reaches an F-Measure score of 86.35%, while the F-Measure scores for inter- and intraobserver variability are 71.63% and 76.18%, respectively. The obtained results are positive. Especially, considering the branching detection task is very challenging, due to high variability in bifurcation dimensions and appearance.
Similar articles
-
Reconstruction of coronary vessels from intravascular ultrasound image sequences based on compensation of the in-plane motion.Comput Med Imaging Graph. 2013 Oct-Dec;37(7-8):618-27. doi: 10.1016/j.compmedimag.2013.09.003. Epub 2013 Sep 16. Comput Med Imaging Graph. 2013. PMID: 24094591
-
HoliMAb: a holistic approach for Media-Adventitia border detection in intravascular ultrasound.Med Image Anal. 2012 Aug;16(6):1085-100. doi: 10.1016/j.media.2012.06.008. Epub 2012 Jul 23. Med Image Anal. 2012. PMID: 22854037
-
A new approach for improving coronary plaque component analysis based on intravascular ultrasound images.Ultrasound Med Biol. 2010 Aug;36(8):1245-58. doi: 10.1016/j.ultrasmedbio.2010.05.009. Ultrasound Med Biol. 2010. PMID: 20691915
-
Imaging of atherosclerotic plaque using radiofrequency ultrasound signal processing.J Nucl Cardiol. 2006 Nov;13(6):831-40. doi: 10.1016/j.nuclcard.2006.10.013. J Nucl Cardiol. 2006. PMID: 17174814 Review. No abstract available.
-
Intravascular ultrasound in the coronary arteries.Semin Vasc Surg. 2006 Sep;19(3):132-8. doi: 10.1053/j.semvascsurg.2006.06.007. Semin Vasc Surg. 2006. PMID: 16996414 Review.
Cited by
-
Assessment of image features for vessel wall segmentation in intravascular ultrasound images.Int J Comput Assist Radiol Surg. 2016 Aug;11(8):1397-407. doi: 10.1007/s11548-015-1345-4. Epub 2016 Jan 25. Int J Comput Assist Radiol Surg. 2016. PMID: 26811082
-
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization.IEEE Trans Med Imaging. 2015 Dec;34(12):2550-61. doi: 10.1109/TMI.2015.2444815. Epub 2015 Jun 11. IEEE Trans Med Imaging. 2015. PMID: 26080381 Free PMC article.
-
Automated detection framework of the calcified plaque with acoustic shadowing in IVUS images.PLoS One. 2014 Nov 5;9(11):e109997. doi: 10.1371/journal.pone.0109997. eCollection 2014. PLoS One. 2014. PMID: 25372784 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical