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Deformable templates for tracking and analysis of intravascular ultrasound sequences

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Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1223))

Abstract

Deformable Template models are first applied to track the inner wall of coronary arteries in intravascular ultrasound sequences, mainly in the assistance to angioplasty surgery. A circular template is used for initializing an elliptical deformable model to track wall deformation when inflating a balloon placed at the tip of the catheter. We define a new energy function for driving the behavior of the template and we test its robustness both in real and synthetic images. Finally we introduce a framework for learning and recognizing spatio-temporal geometric constraints based on Principal Component Analysis (eigenconstraints).

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Authors and Affiliations

  1. Grupo i3a: Informatica Industrial e Inteligencia Artificial Departamento de Tecnología Informática y Computatión, Universidad de Alicante, E-03690, San Vicente, Spain

    Francisco Escolano, Miguel Cazorla, Domingo Gallardo & Ramón Rizo

Authors
  1. Francisco Escolano
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  2. Miguel Cazorla
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  3. Domingo Gallardo
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  4. Ramón Rizo
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Editor information

Marcello Pelillo Edwin R. Hancock

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© 1997 Springer-Verlag Berlin Heidelberg

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Escolano, F., Cazorla, M., Gallardo, D., Rizo, R. (1997). Deformable templates for tracking and analysis of intravascular ultrasound sequences. In: Pelillo, M., Hancock, E.R. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 1997. Lecture Notes in Computer Science, vol 1223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62909-2_101

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  • DOI: https://doi.org/10.1007/3-540-62909-2_101

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62909-2

  • Online ISBN: 978-3-540-69042-9

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