PROJECT NARRATIVE The lack of an evidence-based approach for determining the right CT imaging protocol for a particular task explains to a large degree the considerable variation in doses and image quality observed in clinical CT scanning. Moreover, recent evidence indicates that differences in observer performance were larger between radiologists than between different radiation dose levels. In this work, we will develop methods to guide optimization of dose and image quality for CT systems from multiple manufacturers, as well as a generalizable adaptive learning system to improve the diagnostic performance of radiologists for low-dose CT. The proposed research is relevant to public health because it will improve diagnostic performance and consistency in low- dose CT imaging, allowing imaging facilities to optimize their dose levels without compromising the lifesaving diagnostic information obtained from CT imaging.
|Effective start/end date||9/20/12 → 12/31/22|
- National Institute of Biomedical Imaging and Bioengineering: $4,671,220.00
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