Biomedical Imaging Group
Logo EPFL
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem
Follow us on Twitter.
Join our Github.
Masquer le formulaire de recherche
Menu
BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)
  1. School of Engineering STI
  2. Institute IEM
  3.  LIB
  4.  Cardiac Motion
  • Laboratory
    • Laboratory
    • Laboratory
    • People
    • Jobs and Trainees
    • News
    • Events
    • Seminars
    • Resources (intranet)
    • Twitter
  • Research
    • Research
    • Researchs
    • Research Topics
    • Talks, Tutorials, and Reviews
  • Publications
    • Publications
    • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
    • Code
    • Code
    • Demos
    • Download Algorithms
    • Github
  • Teaching
    • Teaching
    • Teaching
    • Courses
    • Student projects
  • Splines
    • Teaching
    • Teaching
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
  • Sparsity
    • Teaching
    • Teaching
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
  • Imaging
    • Teaching
    • Teaching
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
  • Machine Learning
    • Teaching
    • Teaching
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem

Cardiac Motion Analysis from Ultrasound Sequences Using Non-Rigid Registration

M.J. Ledesma-Carbayo, J. Kybic, M. Desco, A. Santos, M. Unser

Proceedings of the Fourth International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'01), Utrecht, Kingdom of the Netherlands, October 14-17, 2001, [Lecture Notes in Computer Science, vol. 2208, W.J. Niessen, M.A. Viergever, Eds., Springer, 2001], pp. 889-896.


In this article we propose a cardiac motion estimation technique that uses non-rigid registration to compute the dense cardiac displacement field from 2D ultrasound sequences. Our method employs a semi-local deformation model which provides controlled smoothness. We apply a multiresolution optimization strategy for better speed and robustness. To further improve the accuracy, the sequence is registered in both forward and backward directions. We calculate additional parameters from the displacement field, such as total displacement and strain.

We create an artificial ultrasound sequence of one heart cycle using a motion model and use it to validate the accuracy of the algorithm. Finally, we present results on real data from normal and pathological subjects that show the clinical applicability of our method.

@INPROCEEDINGS(http://bigwww.epfl.ch/publications/ledesma0101.html,
AUTHOR="Ledesma-Carbayo, M.J. and Kybic, J. and Desco, M. and
	Santos, A. and Unser, M.",
TITLE="Cardiac Motion Analysis from Ultrasound Sequences Using
	Non-Rigid Registration",
BOOKTITLE="Proceedings of the Fourth International Conference on
	Medical Image Computing and Computer-Assisted Intervention
	({MICCAI'01})",
YEAR="2001",
editor="Niessen, W.J. and Viergever, M.A.",
volume="2208",
series="Lecture Notes in Computer Science",
pages="889--896",
address="Utrecht, Kingdom of the Netherlands",
month="October 14-17,",
organization="",
publisher="Springer",
note="")

© 2001 MICCAI. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from MICCAI. 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. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  • Laboratory
  • Research
  • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
  • Teaching
Logo EPFL, Ecole polytechnique fédérale de Lausanne
Emergencies: +41 21 693 3000 Services and resources Contact Map Webmaster email

Follow EPFL on social media

Follow us on Facebook. Follow us on Twitter. Follow us on Instagram. Follow us on Youtube. Follow us on LinkedIn.
Accessibility Disclaimer Privacy policy

© 2023 EPFL, all rights reserved