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Real Time 3D Representation and Tracking of Guidewire for Image Guided Cardiovascular Interventions.
Mehmood, Rashid; Iqbal, Naveed; Tahir, Abdullah; Riaz, M Mohsin; Nawaz, Rab.
  • Mehmood R; National University of Science and Technology (NUST), Islamabad, Pakistan. rashidmehmood@mcs.edu.pk.
  • Iqbal N; National University of Science and Technology (NUST), Islamabad, Pakistan.
  • Tahir A; Gwangju Institute of Science and Technology (GIST), Oryong-Dong, Buk-Gu, Gwangju, 500-712, Republic of Korea.
  • Riaz MM; Center for Advanced Studies in Telecommunication (CAST), COMSATS Institute of Information Technology, Islamabad, Pakistan.
  • Nawaz R; National University of Science and Technology (NUST), Islamabad, Pakistan.
Adv Exp Med Biol ; 989: 165-176, 2017.
Article en En | MEDLINE | ID: mdl-28971425
ABSTRACT
Visual tracking and 3D representation of guidewire in fluoroscopic image sequence for beating heart image guided interventions is very challenging task. The degraded image quality due to low dose fluoroscopy further complicates the problem. In this paper a robust guidewire tracking is proposed for mean shift algorithm using integrated colour, texture and depth features. The target colour, texture and depth features are encoded into gray level intensity histogram, filtered local binary pattern histogram and filtered local depth pattern histograms respectively. For depth features a 3D image acquisition system for C-Arm, X-Ray imaging system is simulated for real time three dimensional shape recovery of guidewire and associated vessels for vertical beating heart motion using shape from focus technique. The proposed technique provides 3D visualization of guide wire and vessels to the physician as well as real time robust guidewire tip tracking. Experimental results of guidewire tip tracking and 3D shape recovery on image sequence acquired through beating heart simulated phantom show the significance of the proposed technique.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagenología Tridimensional / Técnicas de Diagnóstico Cardiovascular / Corazón Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagenología Tridimensional / Técnicas de Diagnóstico Cardiovascular / Corazón Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article