Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses
Año:2009
Áreas de investigación
  • Industria electrónica
Datos
Descripción
We have applied automated image analysis methods in the assessment of human kidney perfusion based on 3D dynamic contrast-enhanced MRI data. This approach consists of non-rigid 3D image registration of the moving kidney followed by k-means clustering of the voxel time courses with split between left and right kidney. This method was applied to four data sets acquired from healthy volunteers, using 1.5 T (2 exams) and 3 T scanners (2 exams). The proposed registration method reduced motion artifacts in the image time series and improved further analysis of the DCE-MRI data. The subsequent clustering to segment the kidney compartments was in agreement with manually delineations (similarity score of 0.96) in the same motion corrected images. The resulting mean intensity time curves clearly show the successive transition of contrast agent through kidney compartments (cortex, medulla, and pelvis). The proposedmethod formotion correction and kidneycompartment segmentation mightimprove the validity and usefulness of further model-based pharmacokinetic analysis of kidney function in patients.
Internacional
Si
JCR del ISI
Si
Título de la revista
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
ISSN
0895-6111
Factor de impacto JCR
1,192
Información de impacto
Volumen
33
DOI
10.1016/j.compmedimag.2008.11.004
Número de revista
0
Desde la página
171
Hasta la página
181
Mes
ABRIL
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Rosario Sance Garzón (UPM)
  • Autor: Maria Jesus Ledesma Carbayo (UPM)
  • Autor: Andres de Santos Lleo (UPM)
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
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