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References 1. Ambrosini, V. et al. PET/CT imaging in different types of lung cancer: an overview. - European Journal of Radiology, 81, 2012, 5, 988-1001. 2. Ambwani, S. et al. Joint cardiac and respiratory motion correction and super-resolution reconstruction in coronary PET/CT. Biomedical Imaging: From Nano to Macro, IEEE International Symposium on 2011, 2011, IEEE. 3. Anishchenko, S. et al. Quality Estimation Of Motion Correction For Pet Brain Images. - Southern Federal University, 2012. 4. Bagci, U. et al. Joint segmentation of anatomical and functional images

value of single voxel signals for each b value. Median diffusion parameters of ROI were used as representative values for each lesion. No motion correction algorithm was used but ROIs were drawn taking care to exclude areas in which movement artifacts or blurring caused voxel misalignments. We analysed the enhancement pattern during arterial, portal, equilibrium or late phase and described it as homogeneous, heterogeneous, or progressive. We described the capsule appearance, defined as a peripheral rim of smooth hyperenhancement in the portal or delayed phase, as

CT Body; Siemens Healthcare). An integrated motion correction algorithm for anatomic alignment was applied. Volumes of interest were manually drawn around the target lesion, spleen, portal vein and aorta. For better determination of target lesion images of the target lesions in the baseline CT were used. The software then created quantitative maps of perfusion and calculated CTPI parameters and standard deviations. The parameters were calculated on the basis of the method described by Blomley et al . and Tshusima et al . 17 , 21 CTPI parameters were calculated

, post-contrast axial T1 weighted volumetric interpolated breath-hold examination (VIBE) sequences were acquired from skull base to aortic arch (TR/TE 3,26/1,26 ms, voxel size 1,1 x 0,9 x 1,5 mm with 4 mm averages, receiver bandwidth 640 Hz/pixel, matrix size 218 x 288 and FOV 250 cm 2 ). Imaging parametrs analysis Post-processing of all the images was performed at a workstation running commercially available software Olea Sphere ® 3.0 MR Head & Neck expanded applications (Olea Medical ® , La Ciotat, France). Before data analysis, motion correction algorithm was