Observatorio de I+D+i UPM

Memorias de investigación
Other publications:
Evaluation of four 3D non rigid registration methods applied to early zebrafish development sequences
Research Areas
  • Electronics engineering
Cell image registration can be used to answer the question "where and when do cells move?". It is a crucial issue to describe vertebrate development and explore the relations between cell mechanical activities and the formation of macroscopic structures. Thus motion estimation using registration is a first step towards the understanding of cells and tissues biomechanics. The present study aims at characterizing registration algorithm ability to capture cells and tissues displacements. An evaluation protocol has been set up in order to measure the error produced by a given algorithm. Evaluation relies on a reference, a gold standard of cells trajectories. The difference between this reference and the cell trajectories built by registration is the error measurement. Four non-rigid registration methods used in the biomedical field have been tested: Bspline elastic registration, MIA fluid registration, ITK demons optical flow and ITK levelset optical flow. Two artificial datasets were registered with these methods. We measured errors and their distributions with our gold standard to assess registration quality. Results show that all methods are well suited to achieve nuclei registration with an accumulated error remaining below the voxel size for 80% of the cells. BSpline gave the best registration under five time steps of error accumulation whereas ITK demons was the best for longer accumulation. The same method were used on zebrafish development 3D data. Inaccuracy in the gold standard produced by automated tracking method compromised the accuracy of our error measurements. We however concluded that the performances of the four tested methods are in accordance with the above conclusion.
MICCAI (Medical Image Computing and Computer Assisted Intervention Society)
New York, NY, USA
3rd MICCAI Workshop on Microscopic Image Analysis with Applications in Biology. http://www.miaab.org/miaab-2008-papers/14-miaab-2008-paper-13.pdf
Publication type
Acta de Congreso Internacional
  • Participante: Benoit Lombardot (CNRS - Ecole Polytechnique, Paris, France)
  • Participante: Paul Bourgine (CNRS - Ecole Polytechnique, Paris, France)
  • Participante: E. Faure (CNRS - Ecole Polytechnique, Paris, France)
  • Autor: Andres de Santos Lleo (UPM)
  • Autor: Maria Jesus Ledesma Carbayo (UPM)
  • Participante: C. Melani (University of Bologna, Italy)
  • Autor: Miguel Angel Luengo Oroz (UPM)
  • Participante: Nadine Peyrieras (CNRS - Institut de Neurobiologie Alfred Fessard, Gif-sur-Yvette, France)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)