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Automatic Segmentation and Tracking of Interventional Tools in Coronary Angiographies

Case Report

Automatic Segmentation and Tracking of Interventional Tools in Coronary Angiographies
 

 


Petkov S1*, Radeva P1, Carrillo X2 and Gatta C2

1Centre de Visio per Computador, Universitat de Barcelona, Barcelona, Spain
2Germans Trias I Pujol University Hospital in Badalona (Barcelona), Spain

*Corresponding author: Petkov S, Centre de Visi´o per Computador, Universitat de Barcelona, Bellaterra, Barcelona, 08193, Spain, Tel: +34 693980478; E-mail: simeon.petkov.bg@gmail.com

Received: December 12, 2016; Accepted: July 20, 2017; Published: August 04, 2017

Abstract

In this paper we present a fully automatic method to detect, segment and track interventional tools in sequences of coronary angiography images. Our work is motivated by several possible applications that would enhance the job of cardiologists and improve the outcome of coronary interventions. Examples are lowering the usage of contrast agent, improving the visualization in 2D and 3D and facilitating tool guidance. Novelties in our proposal are the usage of the Hungarian algorithm for simultaneous tracking of deformable structures and the analysis of movement frequencies to detect catheter and guide wire. After an initial point’s selection, based on vessel and centerline masks, the Hungarian method uses a cost function to link points. The cost function is a linear combination of one appearance-based measure and two geometry-based measures. Then the trajectories of linked points are inspected in the Fourier domain to select a trajectory that tracks an interventional tool. The tool segmentation in each image of the sequence uses the selected trajectory plus the vessel and centerline masks for the image. Differentiation between catheter and guide wire makes use of the fact that the catheter is the thicker tool. In addition, we systematize the main challenges in this area of research in a list of issues that need to be addressed for a robust segmentation and tracking of interventional tools. Comprehensive evaluation shows that our method handles these challenges and outperforms the related state of the art.

Keywords

Angiography; Catheter; Detection; Segmentation; Tracking; X-ray

Citation: Petkov S, Radeva P, Carrillo X, Gatta C (2017) Automatic Segmentation and Tracking of Interventional Tools in Coronary Angiographies. J Case Repo Imag 1: 004.

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