Ingenuity elite

The patients received a non-contrast head CT, a contrast enhanced WBCT with arms crossed in front of the abdomen, and an additional maxillofacial MSCT due to suspected facial trauma. Axial images (0.75 mm) were acquired following a standardized polytrauma protocol comprised of arterial scans from the orbital roof to the aortic arch, and another scan from chest to pelvis following a split-bolus protocol [20 (link)]. Images were acquired on three different CT scanners (all: Philips, Eindhoven, The Netherlands): 645 were performed on a 64-slice scanner (Diamond Select Brilliance), 395 on a 128-slice scanner (Ingenuity Elite), and 21 on a 16-slice scanner (Diamond Select Brilliance). Multiplanar reconstructions of axial, coronal, and sagittal planes (slice thickness 2 mm) were created and stored with the raw data in the Picture Archiving and Communications System (PACS) iSite^® Radiology (Philips, Eindhoven, The Netherlands).
Two neuroradiologists with more than twenty years of work experience each (S.M., M.K.) reviewed the images independently. In cases of disagreement, consensus was reached via discussion.

We used the sensitometry module (CTP404) included with the Catphan 600 phantom (The Phantom Laboratory, Salem, NY). The module consists of eight cylindrical objects; we used two objects made from Delrin (approximately 350 HU at 120 kVp) and polystyrene (PS) (approximately −30 HU at 120 kVp). The background CT value was approximately 100 HU at 120 kVp. We placed the phantom in the center of the scanner field of view (FOV) such that the cylinder was parallel to the z direction, and therefore perpendicular to the x–y scanning plane. We scanned the phantom with a multidetector row CT scanner (Ingenuity Elite, Philips Healthcare, Netherland) at 120 kVp, 100 mA, with a one‐second/rotation, a pitch of 1.17, and detector configuration of 16 × 0.625 mm. Twenty consecutive cross‐sectional images along the cylinder were reconstructed at a 200 mm FOV, with a 1‐mm slice thickness and a 1‐mm interval. The scan and reconstruction was repeated 10 times, resulting in a total of 200 images. The image reconstruction was performed using the FBP algorithm and the iterative model reconstruction (IMR) algorithms Body Routine and Body SharpPlus. IMR algorithms feature three noise reduction levels (level 1–3), where level 3 provides the maximum noise reduction. We used levels 1 and 3 for both IMR algorithms, and obtained 200 images with each.