Artículos en revistas:
Unsupervised estimation of myocardial displacement from tagged MR sequences using non-rigid registration
Unsupervised estimation of myocardial displacement from tagged MR sequences using non-rigid registration
Año:2008
Áreas de investigación
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Industria electrónica
Datos
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Descripción
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| 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 | |
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Internacional
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JCR del ISI
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Título de la revista
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MAGNETIC RESONANCE IN MEDICINE |
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ISSN
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0740-3194 |
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Factor de impacto JCR
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3,131 |
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Información de impacto
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Volumen
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59 |
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DOI
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10.1002/mrm.21444 |
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Número de revista
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1 |
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Desde la página
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181 |
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Hasta la página
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189 |
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Mes
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ENERO |
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Ranking
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Participantes
- 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. )
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
- Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
- Departamento: Ingeniería Electrónica
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)