The Center for Virtual Imaging Trials will be, for the first time, at the RSNA annual meeting in Chicago. From November 26-29, CVIT will be at McCormick Place, booth 3352, First Time exhibitor Pavilion, South Hall Level 3. At the conference, the Center will showcase its activities and resources. It will also be possible to meet CVIT leaders and team members, and to schedule one-to-one meetings.
CVIT also presents the Virtual Imaging Trials in Medicine (VITM24) summit that will be hosted at Duke University, Durham (NC), April 22-24, 2024. The summit will gather leading experts, researchers, and practitioners in medical imaging and therapy using in silico virtual trials and digital twins in medicine. VITM24 will include presentations by leading scientists, practitioners, and developers of related scholarship; workshops; proffered presentations, and industry expo.
As usual, together with RAI Labs and CIPG members, CVIT researchers will present several scientific abstracts covering topics including quality assurance in radiology, CT radiation dose and image quality monitoring, clinical and radiation risk assessment in CT, and quality improvement in MRI. CVIT Director Dr. Ehsan Samei will also lead a session about virtual clinical trials and its tole in radiology. Following is the list of presentation:
- Scott Robertson: The power of PI-QUAL metrics and multidisciplinary collaboration: building a robust and comfortable non-endorectal prostate MRI protocol. November 27th, 8:00am, room S405
- Njood Alsaihati: Radiology professional preferences for CT radiation dose and image quality monitoring. November 27th, 12:45pm, Learning Center.
- Nicole Lafata: Practical implementation of radiography quality assurance. November 27th, 1:30pm, room N229.
- Scott Robertson: More with less: a quality improvement initiative to evolve multiparametric MR prostate imaging beyond the endorectal coil. November 28th, 12:45pm, Learning Center.
- Ehsan Samei: Virtual Clinical trials. November 28th, 4:30pm, room S404.
- Francesco Ria: Clinical and radiation risk across one million patients in computed tomography: influence of age, size, and race. November 30th, 1:15pm, Learning Center.
