Layer separation for vessel enhancement in interventional X-ray angiograms using morphological filtering and robust PCA

Hua Ma, Gerardo Dibildox, Jyotirmoy Banerjee, Wiro Niessen, Carl Schultz, Evelyn Regar, Theo van Walsum

Research output: Chapter in Book/Conference paperConference paper

11 Citations (Scopus)

Abstract

Automatic vessel extraction from X-ray angiograms (XA) for percutaneous coronary interventions is often hampered by low contrast and presence of background structures, e.g. diaphragm, guiding catheters, stitches. In this paper, we present a novel layer separation technique for vessel enhancement in XA to address this problem. The method uses morphological filtering and Robust PCA to separate interventional XA images into three layers, i.e. a large-scale breathing structure layer, a quasi-static background layer and a layer containing the vessel structures that could potentially improve the quality of vessel extraction from XA. The method is evaluated on several clinical XA sequences. The result shows that the proposed method significantly increases the visibility of vessels in XA and outperforms other background-removal methods.

Original languageEnglish
Title of host publicationAugmented Environments for Computer-Assisted Interventions: 10th International Workshop, AE-CAI 2015 Held in Conjunction with MICCAI 2015, Proceedings
EditorsC Linte, Z Yaniv, P Fallavollita
PublisherSpringer-Verlag London Ltd.
Pages104-113
Number of pages10
Volume9365
ISBN (Print)9783319246000
DOIs
Publication statusPublished - 1 Jan 2015
Event10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015 - Munich, Germany
Duration: 9 Oct 20159 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9365
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015
CountryGermany
CityMunich
Period9/10/159/10/15

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    Ma, H., Dibildox, G., Banerjee, J., Niessen, W., Schultz, C., Regar, E., & van Walsum, T. (2015). Layer separation for vessel enhancement in interventional X-ray angiograms using morphological filtering and robust PCA. In C. Linte, Z. Yaniv, & P. Fallavollita (Eds.), Augmented Environments for Computer-Assisted Interventions: 10th International Workshop, AE-CAI 2015 Held in Conjunction with MICCAI 2015, Proceedings (Vol. 9365, pp. 104-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9365). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-319-24601-7_11