Multi-modal medical image integration to optimize radiotherapy planning in lung cancer treatment

Giovanna Rizzo, G. M. Cattaneo, P. Castellone, I. Castiglioni, G. L. Ceresoli, C. Messa, C. Landoni, M. C. Gilardi, R. Arienti, S. Cerutti, F. Fazio

Research output: Contribution to journalArticle

Abstract

A method for computed tomography (CT) and Positron Emission Tomography (PET) image registration, and multi-modal analysis was proposed to optimize radiotherapy planning in lung cancer treatment. The method relies on an image registration technique based on fiducial external markers to align, spatially, PET images with the CT spatial reference system. The application of method to patients studies proved the adequacy of the registration technique in terms of accuracy. It was suggested that it is important to integrate functional FDG-PET information with CT imaging for a better delineation of the radiotherapy target volume.

Original languageEnglish
Pages (from-to)1399-1408
Number of pages10
JournalAnnals of Biomedical Engineering
Volume32
Issue number10
DOIs
Publication statusPublished - Oct 2004

Keywords

  • Image registration
  • Multimodal analysis
  • PET
  • Treatment planning

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Multi-modal medical image integration to optimize radiotherapy planning in lung cancer treatment'. Together they form a unique fingerprint.

  • Cite this

    Rizzo, G., Cattaneo, G. M., Castellone, P., Castiglioni, I., Ceresoli, G. L., Messa, C., Landoni, C., Gilardi, M. C., Arienti, R., Cerutti, S., & Fazio, F. (2004). Multi-modal medical image integration to optimize radiotherapy planning in lung cancer treatment. Annals of Biomedical Engineering, 32(10), 1399-1408. https://doi.org/10.1114/B:ABME.0000042227.37183.1c