Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Super-resolution in 4D positron emission tomography
Year:2008
Research Areas
  • Electronics engineering
Information
Abstract
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.
International
Si
Congress
IEEE Nuclear Science Symposium and Medical Imaging Conference
960
Place
Dresden, Alemania
Reviewers
Si
ISBN/ISSN
978-1-4244-2714-7
Start Date
19/10/2008
End Date
25/10/2008
From page
4285
To page
4287
IEEE Nuclear Science Symposium Conference Record
Participants
  • 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)
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
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