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Memorias de investigación
Ponencias en congresos:
Super-resolution in 4D positron emission tomography
Año:2008
Áreas de investigación
  • Industria electrónica
Datos
Descripción
Respiratory synchronized acquisitions lead to noisy images. Super-resolution techniques deal with the enhancement of several slightly different low-resolution images into a single high-resolution image. A maximum a-posteriori (MAP) superresolution algorithm has been implemented and applied to respiratory gated PET images for motion compensation. The algorithm was tested on a GATE simulated datasets. It consisted of 8 frames of the NeAT phantom with lesions between 1522mm placed throughout the lungs. Images were reconstructed using the OPLEM algorithm. Super-resolution was performed on the gated frames through a MAP algorithm, using a Huber prior as a regularization term to ensure convergence. The optimization of the function yjelded by the MAP method was performed through a steepest descent algorithm. Motion fields were recovered using a previously presented elastic registration algorithm. Image enhancement was assessed by estimating signal to noise ratio (SNR) and contrast in regions of interest.
Internacional
Si
Nombre congreso
IEEE Nuclear Science Symposium and Medical Imaging Conference
Tipo de participación
960
Lugar del congreso
Dresden, Alemania
Revisores
Si
ISBN o ISSN
978-1-4244-2714-7
DOI
Fecha inicio congreso
19/10/2008
Fecha fin congreso
25/10/2008
Desde la página
4285
Hasta la página
4287
Título de las actas
IEEE Nuclear Science Symposium Conference Record
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: C. Roux (LaTIM, Brest Francia)
  • Participante: P. Marechal (U. Paul Sabatier, Toulouse Francia)
  • Participante: D. Wallach (LaTIM, Brest Francia)
  • Autor: José Luis Rubio Guivernau (UPM)
  • Autor: Georgios Kontaxakis Antoniadis (UPM)
  • Participante: D. Visvikis (LaTIM, Brest Francia)
  • Autor: Andres de Santos Lleo (UPM)
  • Participante: F. Lamarc (Imperial College, London UK)
  • Autor: Maria Jesus Ledesma Carbayo (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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