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Lucas14a

L. Royer, M. Babel, A. Krupa. Non-rigid target tracking in 2D ultrasound images using hierarchical grid interpolation. In SPIE Medical Imaging conference, San Diego, CA, Février 2014.

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Résumé

In this paper, we present a new non-rigid target tracking method within 2D ultrasound (US) image sequence. Due to the poor quality of US images, the motion tracking of a tumor or cyst during needle insertion is considered as an open research issue. Our approach is based on well-known compression algorithm in order to make our method work in real-time which is a necessary condition for many clinical applications. Toward that end, we employed a dedicated hierarchical grid interpolation algorithm (HGI) which can represent a large variety of deformations compared to other motion estimation algorithms such as Overlapped Block Motion Compensation (OBMC), or Block Motion Algorithm (BMA). The sum of squared difference of image intensity is selected as similarity criterion because it provides a good trade-off between computation time and motion estimation quality. Contrary to the others methods proposed in the literature, our approach has the ability to distinguish both rigid and non-rigid motions which are observed in ultrasound image modality. Furthermore, this technique does not take into account any prior knowledge about the target, and limits the user interaction which usually complicates the medical validation process. Finally, a technique aiming at identifying the main phases of a periodic motion (e.g. breathing motion) is introduced. The new approach has been validated from 2D ultrasound images of real human tissues which undergo rigid and non-rigid deformations. (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Contact

Marie Babel
Alexandre Krupa

Référence BibTex

@InProceedings{Lucas14a,
   Author = {Royer, L. and Babel, M. and Krupa, A.},
   Title = {Non-rigid target tracking in 2D ultrasound images using hierarchical grid interpolation},
   BookTitle = {SPIE Medical Imaging conference},
   Address = {San Diego, CA},
   Month = {February},
   Year = {2014}
}

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