ParticipantsEhsan Samei, PhD, Durham, NC (Coordinator) Research Grant, General Electric Company; Research Grant, Siemens AG; Advisory Board, medInt Holdings, LLC; License agreement, 12 Sigma Technologies; License agreement, Gammex, Inc
Lifeng Yu, PhD, Chicago, IL (Coordinator) Nothing to Disclose
CT has become a leading medical imaging modality, thanks to its superb spatial and temporal resolution to depict anatomical details. New advances have enabled extending the technology to depict physiological information. This has enabled a wide and expanding range of clinical applications. These advances are highlighted in this multi-session course. The course offers a comprehensive and topical depiction of these advances with material covering CT system innovations, CT operation, CT performance characterization, functional and quantitative applications, and CT systems devised for specific anatomical applications. The sessions include advances in CT system hardware and software, CT performance optimization, CT practice management and monitoring, spectral CT techniques, quantitative CT techniques, functional CT methods, and special CT use in breast, musculoskeletal, and interventional applications.
ParticipantsGuang-Hong Chen, PhD, Madison, WI (Presenter) Research funded, General Electric Company Research funded, Siemens AG
1. Understand how to evaluate signal properties in CT; 2. Understand how to evaluate noise properties in CT; 3. Understand how to evaluate image quality by combining signal and noise properties in CT.
ParticipantsYakun Zhang, MS, Durham, NC (Presenter) Nothing to Disclose
Ehsan Samei, PhD, Durham, NC (Presenter) Research Grant, General Electric Company; Research Grant, Siemens AG; Advisory Board, medInt Holdings, LLC; License agreement, 12 Sigma Technologies; License agreement, Gammex, Inc
yakun.zhang@duke.edu
LEARNING OBJECTIVES1) Understand the current standard for CT performance evaluation oriented towards operational performance. 2) Understand the measurement methods for task-based assessment of CT including resolution, noise, and detectability. 3) Understand the use of operational characteristics to monitor and optimize CT performance.
ParticipantsJustin B. Solomon, PhD, Durham, NC (Presenter) License agreement, Sun Nuclear Corporation; License agreement, 12 Sigma Technologies
Ehsan Samei, PhD, Durham, NC (Presenter) Research Grant, General Electric Company; Research Grant, Siemens AG; Advisory Board, medInt Holdings, LLC; License agreement, 12 Sigma Technologies; License agreement, Gammex, Inc
justin.solomon@duke.edu
LEARNING OBJECTIVES1) To understand the principle of optimization in targeting specific levels of quality while constraining the mitigating factors. 2) To understand how imaging science and physics enables prospective optimization of imaging exams using phantoms and models. 3) To understand how retrospective analysis of patient image quality and dose can affirm and inform the optimization quality and process.