RSNA 2017 Meeting Program
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Johns Hopkins University presents research on 3D cone beam technology.
By David Foos, Chief Technology Officer and Director of Research and Innovation, Carestream Health.
The theme for RSNA 2017 focuses on innovation, specifically, “inviting attendees to investigate and advance radiology through innovation as a means of creating positive impact on patient care.” Consistent with this theme, the combined scientific and educational RSNA 2017 meeting program provides attendees with an exhaustive list of opportunities to explore the latest in medical imaging innovations as well as to hear from colleagues about new clinical breakthroughs.
More than 2,600 individual sessions including plenary and scientific talks, scientific posters, learning exhibits, and educational courses are being offered. As in the past, the RSNA scientific program includes topics that span the range of clinical and diagnostic applications, advances in technology across the various medical imaging modalities, and new developments in healthcare IT and imaging informatics. Two areas of particular emphasis this year that transcend all aspects of the RSNA17 scientific program are presentations on the ever-expanding lists of applications for deep learning and 3D printing technologies.
Johns Hopkins University presents research on 3D cone beam technology
Researchers from Johns Hopkins University, in collaboration with Carestream Health scientists, will participate in the RSNA scientific program this year. Four talks specific to 3D cone beam imaging (CBCT) technology research that is ongoing between Johns Hopkins and Carestream will be presented. Recent advances that are related to the imaging physics of CBCT will be reported, along with results from assessments of clinical performance in either a skeletal or brain imaging application.
In the first presentation, the authors will describe the construction of a novel prototype ultra-high resolution CBCT scanner. Results obtained from quantitative analysis of trabecular architecture from images of bone captured using the 3D cone beam system will be reported.
The second presentation is on a closely-related topic. It will report on the evaluation of radiological signs of rheumatoid arthritis, such as bone erosions in wrist and metacarpophalangeal joints based on imagery captured using the same high resolution CBCT scanner. A next phase of research for both of the aforementioned research projects is further assessment and quantification of potential imaging biomarkers for bone health.
The third presentation will describe the methodology and results obtained from a parametric investigation into the effects on image quality using anti-scatter grids across a range of CBCT system geometries, specifically for volumetric imaging of the brain.
In the fourth presentation, the researchers will report on the performance of an algorithm that was developed to automatically quantify bone morphology and joint alignment in 3D musculoskeletal imaging. In this presentation, the researchers will share their findings on the correlation of algorithm output relative to independent measurements performed by expert radiologists. The researchers will also comment on the potential to utilize the approach for quantitative assessment of joint morphology in diagnostic and surgical applications.
Schedule for RSNA 2017 scientific presentations on 3d cone beam technology
Following are the names of the presenters, and timing and location for each of the presentations.
Monday November 27, 12:45-1:15 PM | PHS-MOB | PH Community, Learning Center
PH226-SD-MOB7 High Resolution Extremity Cone-Beam CT with a CMOS X-Ray Detector: System Design and Applications in Quantitative Assessment of Bone Health, Qian Cao, | Michael Brehler | Alejandro Sisniega, PhD | Gaurav K. Thawait, MD | Joseph W. Stayman, PhD | John Yorkston, PhD | Shadpour Demehri, MD | Jeffrey H. Siewerdsen, PhD | Wojciech Zbijewski, PhD
Monday November 27, 3:00-4:00 PM | SSE15 | Room: E451B
SSE15-06 Evaluation of Bone Erosions in Rheumatoid Arthritis Patients using CBCT and MRI, Gaurav K. Thawait, MD | Wojciech Zbijewski, PhD | Alexander Martin | Shadpour Demehri, MD | Jan Fritz, MD | John Yorkston, PhD | Myma Albayda | Clifton O. Bingham III, MD | Jeffrey H. Siewerdsen, PhD
Monday November 27, 3:00-4:00 PM | SSE21 | Room: S403A
SSE21-05 Effect of Flat and Curved System Geometry on X-Ray Scatter Distribution and Selection of Antiscatter Grids, Alejandro Sisniega, PhD | Wojciech Zbijewski, PhD | Pengwei Wu | Joseph W. Stayman, PhD | Nafi Aygun, MD | Vassiliss Koliatsos, MD | Xiaohui Wang, PhD | David H. Foos | Jeffrey H. Siewerdsen, PhD
Thursday November 30, 10:30-12:00 PM | SSQ18 | Room: S403B
SSQ18-02 Automatic Algorithm for Joint Morphology Measurements in Volumetric Musculoskeletal Imaging, Michael Brehler | Gaurav K. Thawait, MD | Qian Cao, | Jonathan Kaplan | John Ramsay | John Yorkston, PhD | Shadpour Demehri, MD | Jeffrey H. Siewerdsen, PhD | Wojciech Zbijewski, PhD
The complete list of RSNA 2017 plenary sessions, scientific talks and posters, and educational offerings can be accessed via the RSNA17 program website.
David Foos is Chief Technology Officer at Carestream Health and is Director of Research and Innovation. Mr. Foos holds a M.S. degree in physics from Rensselaer Polytechnic Institute. He is inventor on numerous granted patents, and has authored a variety of peer-reviewed journal articles.
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