CT has undergone a tremendous development since the Noble Prize-winning works of Sir G. Hounsfield. CT has developed into an essential component of state-of-the art imaging. For these reasons, understanding the physical principals of CT is essential for those working in the field as well as those thinking about entering it. The principles of CT data acquisition, image reconstruction, and image display will be discussed. A comprehensive review of CT image quality as well as the factors that affect image quality will be discussed. This seminar will provide a foundation that will be useful for expanding your knowledge in this modality and will help you prepare for the CT examination.
A Review of CT Imaging
Nov 6th, 2009
Oklahoma City, OK
US
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![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




