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Memorias de investigación
Research Publications in journals:
List-mode-based Reconstruction for Respiratory Motion Correction in PET using Non-rigid Body Transformations
Year:2007
Research Areas
  • Electronics engineering
Information
Abstract
Respiratory motion in emission tomography leads to reduced image quality. Developed correction methodology has been concentrating on the use of respiratory synchronized acquisitions leading to gated frames. Such frames, however, are of low signal-to-noise ratio as a result of containing reduced statistics. In this work, we describe the implementation of an elastic transformation within a list-mode-based reconstruction for the correction of respiratory motion over the thorax, allowing the use of all data available throughout a respiratory motion average acquisition. The developed algorithm was evaluated using datasets of theNCAT phantom generated at different points throughout the respiratory cycle. List-mode-data-based PET-simulated frames were subsequently produced by combining the NCAT datasets with Monte Carlo simulation. A non-rigid registration algorithm based on B-spline basis functions was employed to derive transformation parameters accounting for the respiratory motion using the NCAT dynamic CT images. The displacement matrices derived were subsequently applied during the image reconstruction of the original emission list mode data. Two different implementations for the incorporation of the elastic transformations within the one-pass list mode EM(OPL-EM) algorithm were developed and evaluated. The corrected images were compared with those produced using an affine transformation of list mode data prior to reconstruction, as well as with uncorrected respiratory motion average images. Results demonstrate that although both correction techniques considered lead to significant improvements in accounting for respiratory motion artefacts in the lung fields, the elastic-transformation-based correction leads to a more uniform improvement across the lungs for different lesion sizes and locations.
International
Si
JCR
Si
Title
PHYS MED BIOL
ISBN
0031-9155
Impact factor JCR
2,528
Impact info
Volume
52
Journal number
17
From page
5187
To page
5204
Month
SEPTIEMBRE
Ranking
Participants
  • autor: A.J. Reader (LaTIM, Brest, France)
  • autor: T. Cresson (LaTIM, Brest, France)
  • autor: D. Visvikis (LaTIM, Brest, France)
  • Autor: Georgios Kontaxakis Antoniadis (UPM)
  • Autor: Andres de Santos Lleo (UPM)
  • autor: C. Cheze Le Rest (LaTIM, Brest, France)
  • Autor: Maria Jesus Ledesma Carbayo (UPM)
  • autor: F. Lamare (LaTIM, Brest, France)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Departamento: Ingeniería Electrónica
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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