Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


L. Royer, M. Marchal, A. Le Bras, G. Dardenne, A. Krupa. Interactive Tracking of Soft Tissues in 2D Ultrasound Images. SURGETICA 2014, Chambery, France, December 2014.

Download [help]

Download Hal paper: Hal : Hyper Archive en ligne

Download paper: Adobe portable document (pdf) pdf

Copyright notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow


In several medical applications such as liver or kidney biopsies, an anatomical region needs to be continuously tracked during the intervention. When using ultrasound (US) image modality, tracking soft tissues remains challenging due to the deformations caused by physiological motions or medical instruments, combined with the generally weak quality of the images. In order to overcome the previous limitation, different techniques based on physical model have been proposed in the literature. [SMSM06] proposed a registration method based on the mass-spring system in order to constrain the deformation, and Zhang et al [ZW13] introduced an other registration technique based on finite element model where the extraction of the scale invariant features is needed. However, their model are built from features which are difficult to extract in US images due to the speckle noise. Finally, Marami et al [MSFC14] presented very recently an elastic registration method applicable to multi-modality image registration where the deformation is computed from modality independent neighborhood descriptor. In this paper, we propose an approach for tracking deformable target within 2D US images based on a physical model driven by smooth displacement field obtained from dense information. This allows to take into account highly localized deformation in the US images. Section 2 presents our method based on a combination of an intensity-based approach and a physically-based model. Section 3 describes the performances of our approach and comparisons on real data. Section 4 concludes the paper


Maud Marchal
Alexandre Krupa

BibTex Reference

   Author = {Royer, L. and Marchal, M. and Le Bras, A. and Dardenne, G. and Krupa, A.},
   Title = {{Interactive Tracking of Soft Tissues in 2D Ultrasound Images}},
   Howpublished = {{SURGETICA 2014}},
   Address = {Chambery, France},
   Month = {December},
   Year = {2014}

EndNote Reference [help]

Get EndNote Reference (.ref)