IRIS PET, CT, and PET/CT

The IRIS scanner is dedicated to in-vivo preclinical research on small animal such as mice and rats. IRIS is available in single modality PET, CT or dual modality PET/CT. IRIS technology is extremely flexible and an IRIS PET or CT scanner can be upgraded to PET/CT at a later stage.

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Key features

·Optimized for rodent imaging

·High performance

·High throughput

·Easy to use

·Cost-effective

 

·Highest sensitivity PET

·PET spatial resolution near 1 mm

·Full mouse FOV

·Best energy resolution

·CT optimized for speed

·Low dose and high resolution

·Sensorless cardiac and resp. gating

·4D CT imaging technology

Specifications (2018)

Highlight technologies

Software based CT resp. and cardiac gated imaging WITHOUT ECG and resp. sensor

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Fully automated respiratory gating with CT acquisition for only 40s

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Cardiac gating with 20 phases per R-R interval

  • Courtesy of: D. Panetta and P.A. Salvadori, IFC-CNR Pisa

Fully automated PET resp. and cardiac gated imaging with integrated ECG and resp. sensor

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  • Courtesy of: D. Brasse, CNRS Strasbourg

Publications

N. Belcari, N. Camarlinghi, M. Cecchetti, S. Ferretti, M. Hohberg, D. Panetta, P. Salvadori, G. Sportelli, K. Straub, A. Del Guerra. Performance Evaluation of the PET Component of Novel Preclinical PET/CT Scanner Using NEMA NU-4 2008 Standard. IEEE NSS/MIC 2013. oral presentation. M25-8

N. Belcari, N. Camarlinghi, E. Fabbiani, S. Ferretti, P. Iozzo, D. Panetta, P. A. Salvadori, G. Sportelli, A. Del Guerra. Performance Evaluation of the PET Component of the IRIS Preclinical PET/CT Scanner and its Capability in Quantitative Dynamic Imaging. Eur. J. Nucl. Med. Mol. Imaging. 41, S396-S396

D. Panetta, N. Belcari, M. Tripodi, S. Burchielli, P. A. Salvadori, A. Del Guerra. (2015). Performance Evaluation of the CT Component of the IRIS PET/CT Preclinical Tomograph. NUCL INSTRUM METH A, 805, p. 135-144. DOI:10.1016/j.nima.2015.08.044

J. Detour, A. Pierre, F. Boisson, G. Kreutter, T. Lavaux, I. J. Namer, L. Kessler, D. Brasse, P. Marchand and A. Imperiale. (2016). Carbidopa Effect on 18F-FDOPA Uptake in Insulinoma: from Cell Culture to microPET Imaging. Journal of Nuclear Medicine, First published September 8, 2016, DOI: 10.2967/jnumed.116.180588

Giannotti, S., Bottai, V., Panetta, D., De Paola, G., Tripodi, M., Citarelli, C., … Guido, G. (2015). Three-dimensional parametric mapping in quantitative micro-CT imaging of post-surgery femoral head-neck samples: preliminary results. Clinical Cases in Mineral and Bone Metabolism, 12(3), p. 243–246. doi:10.11138/ccmbm/2015.12.3.243.

D. Panetta, N. Belcari, S. Burchielli, G. Pelosi, M. Tripodi, M. De Simone, P. Iozzo, A. Del Guerra, P.A. Salvadori. (2016). Temporal weighting and angular rebinning for artifact-free single-rotation retrospectively gated 4D cardiac micro-CT. Mol Imaging Biol (2016) 18:1;S356-S357. Proceedings of the World Molecular Imaging Congress 2015, Honolulu, Hawaii, September 2-5, 2015. doi:10.1007/s11307-016-0969-2

Peccarisi, M., De Marco, T., Conversano, F., Pisani, P., Spedicato, L., Greco, A., ... & Casciaro, S. (2016). In-vitro study of human proximal femur microstructure: analysis of the relationship between micro-computed tomography data and quantitative ultrasound parameters. IET Science, Measurement & Technology. 10(3), p. 193–199. DOI: 10.1049/iet-smt.2015.0041

Ratto, F., Centi, S., Avigo, C., Borri, C., Tatini, F., Cavigli, L., ... & Faita, F. (2016). A Robust Design for Cellular Vehicles of Gold Nanorods for Multimodal Imaging. Advanced Functional Materials. DOI: 10.1002/adfm.201600836

Brasse, D., & Boisson, F. (2016). Instrumentation challenges in multi-modality imaging. NUCL INSTRUM METH A, 809, p. 67-75. DOI: 10.1016/j.nima.2015.10.077