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  1. 5 days ago · Radiologist-specific decision-making behaviors remain a significant factor contributing to recommendations for additional imaging (RAI) on head and neck examinations, according to a paper published in American Journal of Roentgenology (AJR)

  2. 5 days ago · We developed automated motion correction and use deep learning to generate pseudo-CT images from MR images. We aim to evaluate whether motion-corrected pseudo-CT produces cranial images that have potential to be acceptable for clinical use.

  3. 3 days ago · An award-winning, radiologic teaching site for medical students and those starting out in radiology focusing on chest, GI, cardiac and musculoskeletal diseases containing hundreds of lectures, quizzes, hand-out notes, interactive material, most commons lists and pictorial differential diagnoses.

  4. 2 days ago · CT. In contrast enhanced abdominal CT, fat planes between the pancreatic parenchyma and major arteries (celiac trunk, common hepatic artery and superior mesenteric artery) and inferior vena cava are always visible. Fat planes are variably present between the pancreas with splenic vein, superior mesenteric vein and stomach.

  5. 5 days ago · The motion-compensated reconstruction algorithm of the second-generation dual-layer spectral detector computed tomography is helpful in improving the image quality of coronary computed tomography angiography in clinical practice, especially in patients with higher heart rates. Key Points.

  6. 3 days ago · Cholangiocarcinomas (commonest type of bile duct cancers) are malignant epithelial tumors arising from the biliary tree, excluding the gallbladder or ampulla of Vater. Cholangiocarcinoma is the third most common primary hepatobiliary malignancy after hepatocellular carcinoma (HCC) and gallbladder cancer 23.

  7. 4 days ago · Generation of virtual monoenergetic images at 40 keV of the upper abdomen and image quality evaluation based on generative adversarial networks. Abdominal CT scans are vital for diagnosing abdominal diseases but have limitations in tissue analysis and soft tissue detection.

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