s / Physica Medica 30 (2014) e123ee145 e126 IMPACT OF THE RECONSTRUCTION PLAN ON IMAGE QUALITY FOR CT IMAGES J.G. Ott , E. Dugert , F. Becce , P. Omoumi , F.R. Verdun a a Institut de Radiophysique, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; b Service de radiodiagnostic et radiologie interventionnelle, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland Introduction: Images acquired with Computed Tomography (CT) are traditionally reconstructed and interpreted in the axial plan. However, in clinical practice there are several situations where images have to be visualised in the axial, sagittal and coronal plan. Moreover, recent introduction of iterative algorithms allowed a significant diminish of the delivered dose, but this also goes along with repercussions on image quality. This impact has beenwidely studied in the axial plan but work still needs to be done for the coronal and sagittal plan. Material and method: Images were acquired on a HD 750 GE CT, in the 3 plans and with a CTDIvol of 7.3mGy. Each acquisition was reconstructed with a bone filter, as well as different reconstruction algorithms: the classical Filtered Back Projection (FBP) and iterative algorithms (ASIR (40% and 80%) and MBIR). Image quality assessment was done using phantoms. The MTF (Modulation Transfer Function) and the NPS (Noise Power Spectrum) were calculated in order to estimate the noise as well as the spatial resolution of the images. Image quality was also assessed through an additional metric called Task Transfer Function (TTF). It was estimated using a phantom containing cylindrical inserts composed of materials surrounded by water. TTF is obtained by measuring contrast difference between the inserts and the water and then applying mathematical treatment to the data. This allows us to estimate spatial resolution when taking contrast transfer into account. Results: Results show that images acquired and reconstructed in the same plan exhibit significantly different spatial resolution depending if it was estimated through TTF or MTF. This demonstrates a dependency of the contrast on the resolution due to the non linearity of the different filters and reconstruction algorithms we used. Furthermore, a significant reduction of both spatial resolution and noise is observed in coronal and sagittal plan compared to axial plan. Conclusion: The results suggest that CT images acquired in the same conditions but reconstructed in different plans will exhibit differences in spatial resolution as well as in noise power spectra. Those parameters having a direct influence on image quality, this means that lesion detection and characterization by the radiologist is modified. In the end, the visualization of the clinical examinations in different plans has repercussions in diagnostic imaging. http://dx.doi.org/10.1016/j.ejmp.2014.10.015 MONTE CARLO SOFTWARE FOR DOSE CALCULATION IN CT EXAMINATIONS C. Adrien , A. Croc De Suray , J.-C. Garcia-Hernandez , S. Dreuil , J. Plagnard , B. Poumarede , C. Le Loirec , J.-M. Bordy a CEA LIST, CEA/ DRT/LIST, Gif sur Yvette, France; b Institut Gustave Roussy, Paris, France Introduction: The significant rise of medical imaging exams in the past few years has led to an increase of collective doses. Despite the numerous tools already available, most of them only provide common dose index (CTDI, PDL) and effective dose rather than absorbed dose to organs. To obtain organ doses, a Monte Carlo (MC) tool, PENELOPE-C++, based on the PENELOPE simulator developed by Salvat et al is adapted. Our finale goal is to develop a predictive tool to obtain the best compromise solution for a CT exam exposure between low organ absorbed doses and high image quality. Material and methods: Due to the lack of information available in the technical note, the GE VCT Lightspeed 64 tube was modeled using the method proposed by Turner et al. Thanks to HVL and profile measurements, equivalent spectra, inherent filtrations and bowtie filter shapes are obtained. Measurements were then performed in static mode with a CdTe detector associated with an unfolding method developed by the LNHB to achieve experimental spectra and validate the tube model. Ultimately, the axial and helical rotation was implemented in the MC tool. To improve the efficiency of the simulation, two variance reduction techniques were used: a circular and a translational splitting. To validate the calculation, simulated sinograms are compared with the expected ones and the particle distribution along the gantry path is checked. The MC tool and the X-ray tube model were then validated for dosimetric purposes. Measured doses were first obtained in a static mode with a calibrated pencil ionization chamber in a PMMA phantom and compared with simulations. Validations for rotational modes are in progress. Results: Computed and measured spectra show acceptable discrepancies attributable to a misalignment during measurements. Bowtie filter shapes are in agreement with theoretical expectations. The geometric validations are consistent with the theoretical expectations. Comparisons between measured and simulated integrated doses are good enough, with less than 6% discrepancies for all different acquisition parameters. Summary: The first validations obtained for the use of PENELOPE-C++ for CT dose estimations are encouraging. The validation of the rotation motion implementation is part of ongoing research on several phantoms and for several examination procedures in CT exams. http://dx.doi.org/10.1016/j.ejmp.2014.10.016 DEVELOPMENT OF SOFTWARE HELPING IN OPTIMIZING COMPUTED TOMOGRAPHY PROTOCOLS: INITIAL RESULTS F. Gardavaud , H. Pasquier , H. Baroukh , A. Rahmouni , A. Luciani a,c,d AP-HP, Groupe Henri Mondor Albert Chenevier, Imagerie Medicale, France; General Electric Medical Systems [Buc] (GE Healthcare), France; Universit e Paris-Est Cr eteil, Facult e de M edecine de Cr eteil, UMRS955, France; d INSERM, Unit e U955, Equipe 17, France Introduction: A simulation tool was developed to enable the visualization of the effect of CT protocol optimization on Image Quality (IQ) and radiation dose. Material and methods: A database of reference Computed Tomography (CT) protocols, adapted to Discovery CT 750HD (GE Healthcare, Wisconsin), for the most encountered clinical indications in CT was established by collecting reference protocols from the American Association of Physicists in Medicine (AAPM) and from optimized and clinically validated protocols in multicentric radiological departments. By adjusting the tube current modulation, three different IQ protocols (low dose, standard, high quality) were defined, for each reference protocol. For these, CT images were acquired on an anthropomorphic phantom (PBU-60®, KYOTO KAGAKU) using the three derived IQ protocols. A software, named ProtoEnhance, was developed to help to optimize CT protocols by displaying the anthropomorphic images and associated volume Computed Tomography Dose Index (CTDIvol). We compared our clinically used hepatic helical acquisition without contrast medium to the standard optimization proposed in ProtoEnhance, qualitatively validated by a senior radiologist, by determining the CTDIvol, by measuring the Signal-Noise Ratio (SNR) in liver and the Contrast-Noise Ratio (CNR) between liver and spleen both on the anthropomorphic phantom and on patient of similar body mass index. Results: We observed significant dose reductions with the optimized protocol versus our routine protocol on the PBU-60 phantom (CTDIvol 1⁄4 5.1 mGy vs 6.9 mGy), and on patient (CTDIvol 1⁄4 5.2 mGy vs 6.6 mGy). SNR and CNR of anthropomorphic phantom images were similar to those of patient images. Conclusion: ProtoEnhance can help medical staff to optimize CT protocols according to IQ preferences.