Radiology
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Purpose To develop and evaluate the feasibility of deep learning approaches for magnetic resonance (MR) imaging-based attenuation correction (AC) (termed deep MRAC) in brain positron emission tomography (PET)/MR imaging. Materials and Methods A PET/MR imaging AC pipeline was built by using a deep learning approach to generate pseudo computed tomographic (CT) scans from MR images. A deep convolutional auto-encoder network was trained to identify air, bone, and soft tissue in volumetric head MR images coregistered to CT data for training. ⋯ Significantly lower PET reconstruction errors were realized with deep MRAC (-0.7% ± 1.1) compared with Dixon-based soft-tissue and air segmentation (-5.8% ± 3.1) and anatomic CT-based template registration (-4.8% ± 2.2). Conclusion The authors developed an automated approach that allows generation of discrete-valued pseudo CT scans (soft tissue, bone, and air) from a single high-spatial-resolution diagnostic-quality three-dimensional MR image and evaluated it in brain PET/MR imaging. This deep learning approach for MR imaging-based AC provided reduced PET reconstruction error relative to a CT-based standard within the brain compared with current MR imaging-based AC approaches. © RSNA, 2017 Online supplemental material is available for this article.
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Purpose To assess the incidence of costal cartilage (CC) fractures in whole-body computed tomographic (CT) examinations for blunt trauma and to evaluate distribution of CC fractures, concomitant injuries, mechanism of injury, accuracy of reporting, and the effect on 30-day mortality. Materials and Methods Institutional review board approval was obtained for this retrospective study. All whole-body CT examinations for blunt trauma over 36 months were reviewed retrospectively and chest trauma CT studies were evaluated by a second reader. ⋯ The 30-day mortality of patients with CC fractures was 7.02% (eight of 114) versus 4.78% (22 of 460) of other patients with chest trauma (OR, 1.50; 95% CI: 0.65, 3.47; P = .3371). Conclusion CC fractures are common in high-energy blunt chest trauma and often occur with multiple consecutive rib fractures. Aortic and hepatic injuries were more common in patients with CC fractures than in patients without CC fractures. © RSNA, 2017.