ENVISION

Research Area:
Research Lines:
Research Lines:
EU Research FP7
DEIB Role: Partner
Start date: 2010-02-01
Length: 54 months
Project abstract
In particle beam therapy cancer local treatment, current beam delivery strategies aimed at minimizing uncertainties from organ motion are based on respiratory gating, re-scanning or tracking.
Information on the motion can be assessed prior to the treatment, e.g., on the basis of time-resolved fourdimensional (4D) Computed-Tomography (CT) data, and monitored during treatment, typically by means of an external surrogate. Dose deposition patterns are investigated through in-beam/in-room PET imaging. The aim of the project ENVISION (European Novel Imaging Systems for Ion therapy) is to assess the feasibility and potential of in-vivo dosimetric imaging systems for the quality assurance of motion-compensated dose delivery and to optimize performance via the investigation and selection of the most accurate and reliable 4D motion monitoring systems which are integrated into the in-vivo dosimetric data acquisition and processing techniques.
Information on the motion can be assessed prior to the treatment, e.g., on the basis of time-resolved fourdimensional (4D) Computed-Tomography (CT) data, and monitored during treatment, typically by means of an external surrogate. Dose deposition patterns are investigated through in-beam/in-room PET imaging. The aim of the project ENVISION (European Novel Imaging Systems for Ion therapy) is to assess the feasibility and potential of in-vivo dosimetric imaging systems for the quality assurance of motion-compensated dose delivery and to optimize performance via the investigation and selection of the most accurate and reliable 4D motion monitoring systems which are integrated into the in-vivo dosimetric data acquisition and processing techniques.
Project results
- C. Gianoli, M. Riboldi, G. Fontana, G. Baroni, M.G. Giri, D. Grigolato, M. Ferdeghini, C. Cavedon, “Optimized PET imaging for 4D treatment planning in radiotherapy: the virtual 4D PET strategy” Technology in Cancer Research and Treatment, 2013, (in press).
- C. Gianoli, M. Riboldi, M.F. Spadea, L.L. Travaini, M. Ferrari, R. Mei, R. Orecchia, G. Baroni, “A multiple points method for 4DCT image sorting”, Medical Physics, vol. 38, pp. 656 - 667, 2011.
- C. Kurz, J. Bauer, D. Unholtz, S. Combs, J. Debus D. Richter, R. Kaderka, C. Bert, K. Stuetzer, C. Gianoli, G. Baroni, K. Parodi, “Current status of 4D offline PET-based treatment verification at the Heidelberg Ion-Beam Therapy Center”, IEEE NSS-MIC 2013, Seoul, Korea.
- C. Gianoli, C. Kurz, M. Riboldi, J. Bauer, G. Baroni, J. Debus, K. Parodi, “Motion compensated reconstructions in 4D PET-based ion beam treatment verification” 4D Treatment Planning Workshop 2013, PSI, Villingen.
- C. Gianoli, J. Bauer, C. Kurtz, M. Riboldi, K. Parodi, G. Baroni, “A Clinical Study on 4D PET Optimization and Quantification in Off-line Treatment Verification", PTCOG 2013, Essen.
- C. Gianoli, E. De Bernardi, M. Riboldi, G. Baselli, J. Bauer, K. Parodi, G. Baroni, “PET-based dosimetry in particle therapy: assessing the feasibility of regional MLEM reconstruction as a quantification tool”, IEEE NSS-MIC 2012, Anaheim, California.