Curvilinear structure enhancement with the polygonal path image - Application to guide-wire segmentation in X-ray fluoroscopy.

Vincent Bismuth 1, 2 Hugues Talbot 2 Régis Vaillant 1 Laurent Najman 2
1 GE Healthcare - General Electric Medical Systems [Buc]
2 LIGM - Laboratoire d'Informatique Gaspard-Monge
Abstract : Curvilinear structures are common in medical imaging, which typically require dedicated processing techniques. We present a new structure to process these, that we call the polygonal path image, denoted $\mathfrak{P}$. We derive from $\mathfrak{P}$ some curvilinear structure enhancement and analysis algorithms. We show that $\mathfrak{P}$ has some interesting properties: it generalizes several concepts found in other methods; it makes it possible to control the smoothness and length of the structures under study; and it can be computed efficiently. We estimate quantitatively its performance in the context of interventional cardiology for the detection of guide-wires in X-ray images. We show that $\mathfrak{P}$ is particularly well suited for this task where it appears to outperform previous state of the art techniques.
Keywords : curvilinear structures image segmentation shortest path}
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download
https://hal-upec-upem.archives-ouvertes.fr/hal-00741956
Contributor : Laurent Najman <>
Submitted on : Monday, October 15, 2012 - 3:35:37 PM
Last modification on : Thursday, July 5, 2018 - 2:29:11 PM
Long-term archiving on : Saturday, December 17, 2016 - 1:27:47 AM

File

article_ppi.pdf
Files produced by the author(s)

Identifiers

Collections

CNRS | ENPC | LIGM | PARISTECH | LIGM_A3SI | UNIV-MLV | UPEC-UPEM | ESIEE-PARIS

Citation

Vincent Bismuth, Hugues Talbot, Régis Vaillant, Laurent Najman. Curvilinear structure enhancement with the polygonal path image - Application to guide-wire segmentation in X-ray fluoroscopy.. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Oct 2012, Nice, France. pp.9-16, ⟨10.1007/978-3-642-33418-4_2⟩. ⟨hal-00741956⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

472

Files downloads

428

Contact

CCSD