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Memorias de investigación
Ponencias en congresos:
A New Similarity Measure for Non-Rigid Breathing Motion Compensation of Myocardial Perfusion MRI
Áreas de investigación
  • Industria electrónica
Breathing movements during the image acquisition of first-pass gadolinium enhanced, myocardial perfusion Magnetic Resonance Imaging (MRI) hinder a direct automatic analysis of the blood flow of the myocardium. In addition, a qualitative readout by visual tracking is more difficult as well. Non-rigid registration can be used to compensate for these movements in the image series. Because of the local contrast and intensity change over time, the registration criterion needs to be chosen carefully. We propose a measure based on Normalized Gradient Fields (NGF) in order to obtain registration. Since this measure requires strong gradients in the images, we also test combining the measure with the Sum of Squared Differences (SSD) to maintain registration forces over the whole image area. To ensure smoothness, we employ a Laplacian regularizer and use the B-spline based approach to describe the transformation of the image space. Our experiments show that by using NGF good registration results can be obtained for image exhibiting a high intensity contrast. For images with a low intensity contrast, combining NGF and SSD improves the registration results significantly over using NGF only. Both measures are differentiable making possible the application of fast, gradient based optimizers.
Nombre congreso
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008)
Tipo de participación
Lugar del congreso
Vancouver, Canada
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Título de las actas
Procedings of 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008)
Esta actividad pertenece a memorias de investigación
  • Participante: P. Kellman (NIH, USA)
  • Autor: Gert Wöllny . (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
S2i 2022 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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