Fast rigid registration of vascular structures in IVUS sequences

  • Authors:
  • Carlo Gatta;Oriol Pujol;Oriol Rodriguez Leor;Josepa Mauri Ferre;Petia Radeva

  • Affiliations:
  • Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain;Department of Matematica Aplicada i Analisis, Universitat de Barcelona, Barcelona, Spain and Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain;Unitat d'Hemodinàmica Cardíaca Hospital Universitari "Germans Trias i Pujol," Badalona, Spain;Unitat d'Hemodinàmica Cardíaca Hospital Universitari "Germans Trias i Pujol," Badalona, Spain;Department of Matematica Aplicada i Analisis, Universitat de Barcelona, Barcelona, Spain and Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
  • Year:
  • 2009

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Abstract

Intravascular ultrasound (IVUS) technology permits visualization of high-resolution images of internal vascular structures. IVUS is a unique image-guiding tool to display longitudinal view of the vessels, and estimate the length and size of vascular structures with the goal of accurate diagnosis. Unfortunately, due to pulsatile contraction and expansion of the heart, the captured images are affected by different motion artifacts that make visual inspection difficult. In this paper, we propose an efficient algorithm that aligns vascular structures and strongly reduces the saw-shaped oscillation, simplifying the inspection of longitudinal cuts; it reduces the motion artifacts caused by the displacement of the catheter in the short-axis plane and the catheter rotation due to vessel tortuosity. The algorithm prototype aligns 3.16 frames/s and clearly outperforms state-of-the-artmethods with similar computational cost. The speed of the algorithm is crucial since it allows to inspect the corrected sequence during patient intervention. Moreover, we improved an indirect methodology for IVUS rigid registration algorithm evaluation.