Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Unsupervised estimation of myocardial displacement from tagged MR sequences using non-rigid registration
Year:2008
Research Areas
  • Electronics engineering
Information
Abstract
We propose a fully automatic cardiac motion estimation technique that uses nonrigid registration between temporally adjacent images to compute the myocardial displacement field from tagged MR sequences using as inputs (sources) both horizontally and vertically tagged images. We present a new multisource nonrigid registration algorithm employing a semilocal deformation model that provides controlled smoothness. The method requires no segmentation. We apply a multiresolution optimization strategy for better speed and robustness. The accuracy of the algorithm is assessed on experimental data (animal model) and healthy volunteer data by calculating the root mean square (RMS) difference in position between the estimated tag trajectories and manual tracings outlined by an expert. For the 20000 tag lines analyzed (45 slices over 20¿40 time frames), the RMS difference between the automatic tag trajectories and the manually segmented tag trajectories was 0.51 pixels (0.25 mm) for the animal data and 0.49 pixels (0.49 mm) for the human volunteer data. The RMS difference in the separation between adjacent tag lines (RMS_TS) was also assessed, resulting in an RMS_TS of 0.40 pixels (0.19 mm) in the experimental data and 0.52 pixels (0.56 mm) in the volunteer data. These results confirm the subpixel accuracy achieved using the proposed methodology
International
Si
JCR
Si
Title
MAGNETIC RESONANCE IN MEDICINE
ISBN
0740-3194
Impact factor JCR
3,131
Impact info
Volume
59
10.1002/mrm.21444
Journal number
1
From page
181
To page
189
Month
ENERO
Ranking
Participants
  • Participante: E.R McVeight (National Institutes of Health, Bethesda, Md,USA. )
  • Participante: Manuel Desco (Hospital G.U. Gregorio Marañon)
  • Autor: Andres de Santos Lleo (UPM)
  • Participante: S. Sanpath (National Institutes of Health, Bethesda, Md,USA. )
  • Autor: Maria Jesus Ledesma Carbayo (UPM)
  • Participante: J.A. Derbyshire (National Institutes of Health, Bethesda, Md,USA. )
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 2019 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)