IRIS PET CT PET Insert Ultrasound Imaging Optical Imaging


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.

Key features

Optimized for rodent imaging
High performance
High throughput
Easy to use

Highest sensitivity PET  
PET spatial resolution near 1 mm  
Full mouse FOV  
Best energy resolution  
   CT optimized for speed
  Low dose
  High resolution

Specifications (2018)

    Specifications PET:
· Sensitivity: > 9% [250 - 750 keV]
· Spatial resolution = 1.1 mm (MLEM)
· Axial FOV: > 94 mm (Recon FOV = 102.6 mm)
· Trans-axial FOV: ~ 81 mm
· Energy resolution: < 13%
· Timing resolution = 1.8 ns

    Specifications CT:
· Detector imaging area: > 11.4 x 14.5 cm2
· Scan time: < 7.3 s (ultra-fast mode), 20 s (speed mode), 1 min (high resolution scan)
· Low dose: < 13 mGy
· Resolution: 73μm @ 10% MTF
· Minimal voxel resolution: < 30μm
· Axial FOV: > 90 mm
· Dynamic 4D acquisition
· Software based respiratory and cardiac gating

Highlight technologies

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

Fully automated respiratory gating with CT acquisition for only 40s 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

Courtesy of: D. Brasse, CNRS Strasbourg

For example images from IRIS PET/CT studies, please check the link Gallery.


N.Belcari, N.Camarlinghi, M.Cecchetti, S.Ferretti, M.Hohberg, D.Panetta, P.Salvadori, G.Sportelli, K.Straub, A.DelGuerra. 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. 243246. 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. 193199. 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