Scale-space for empty catheter segmentation in PCI fluoroscopic images

Abstract : Purpose: In this article, we present empty guiding catheter segmentation in fluoroscopic X-ray images. The guiding catheter, being a commonly visible landmark, its segmentation is an important brick for Percutaneous Coronary Intervention (PCI) procedure modeling but difficult too. Methods: In number of clinical situations, it is empty and appears as a low contrasted structure with two parallel and partially disconnected edges. To segment it, we work on the level-set scale-space of image, the min tree, to extract curve blobs. We then propose a novel structural scale-space, a hierarchy built on these curve blobs. The deep connected component , i.e. the cluster of curve blobs on this hierarchy, that maximizes the likelihood to be an empty catheter is retained as final segmentation. Results: As a result of evaluation over a database of 1250 fluoroscopic images taken from examinations of 6 patients, we obtain very good qualitative and quantitative segmentation performance, with mean precision and recall of 80.48% and 63.04% respectively. Conclusions: We develop a novel structural scale-space to segment a structured object, the empty catheter in challenging imaging situations where the information content is very sparse. Fully-automatic empty catheter segmentation in X-ray fluoroscopic images is an important and preliminary step in PCI procedure modeling, as it aids in tagging the arrival and removal location of other interventional tools.
Liste complète des métadonnées

Cited literature [19 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01445849
Contributor : Ketan Bacchuwar <>
Submitted on : Thursday, September 28, 2017 - 3:18:44 PM
Last modification on : Thursday, July 5, 2018 - 2:29:02 PM
Document(s) archivé(s) le : Friday, December 29, 2017 - 4:27:37 PM

File

EmptyCatheterSegmentation_2017...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman. Scale-space for empty catheter segmentation in PCI fluoroscopic images. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2017, 12 (7), pp.1179-1188. ⟨https://rd.springer.com/article/10.1007/s11548-017-1612-7⟩. ⟨10.1007/s11548-017-1612-7⟩. ⟨hal-01445849v3⟩

Share

Metrics

Record views

584

Files downloads

127