Title:

Quantitative conebeam CT image formation Part I: dual-energy imaging

Speaker:

Dr. Tianye Niu

Affiliation:

Georgia Institute of Technology

When:

Thursday, November 14, 2019 at 11:00:00 AM   Add to Calendar

Where:

Boggs Building, Room 3-47

Host:

Dr. Chris Wang
chris.wang@nre.gatech.edu

Abstract

Precision medicine for diagnosis and treatment relies on the integration of multiple information where imaging plays a fundamental role. As a tomographic imaging modality, xray CT and its variant conebeam CT CBCT is becoming indispensable in disease diagnosis and treatment guidance. Though widely applied in clinical practice, their imaging performance and interpretation are still evolving. This presentation will mainly describe one significant component of tomographic xray CBCT imaging techniques: dualenergy CT image formation. As the foundation of CT imaging, the physics of xray photons interacting with matter leads to an attenuation structural imaging. Multiple structural imaging using various xray spectra opens the possibility of functional xray imaging with the necessary assistance of contrast agent. The clinical applications using dual-energy CT will be briefly introduced followed by indepth description of the dualenergy data acquisition and material image generation. The developed algorithms and protocols will be integrated into the software or hardware tools to facilitate clinical application.

Biography

Dr. Niu is an energetic and productive researcher in the systematic approaches to medical physics and engineering. He received his B.S. 2003 and Ph.D. 2009 from the University of Science and Technology of China. He became a postdoctoral research fellow and research scientist from 2009-2013 at the Medical Physics Program at Georgia Institute of Technology. Dr. Nius career as an independent PI began in 2014 at the Institute of Translational Medicine and Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China. Starting from October 2019, he joined Georgia Tech as an associate professor. Motivated by both academic and clinical application, his research has been focusing on two important aspects of medical physics: a tomographic image formation and diseaserelated medical image analysis. Specifically, he has investigated various technical tools to achieve precision CT imaging including mathematical reconstruction, image artifacts correction, and material quantification. He has also applied the deep learning technique to the image database radiomics of the patient cohort to quantitatively evaluate treatment responses. Starting from 2014, he contributed to 25 peer-reviewed journal publications, 13 of which are the first, senior or corresponding authorship. His total citation is greater than 1000 and H-index is 19. He received several research grant awards from national and provincial funding agencies and commercial companies in China due to his high research performance. He is an adjunct associate professor with the Department of Radiation Oncology, Rutgers-The State University of New Jersey. To contribute to the academic community, he also serves as the international advisory board member of Physics in Medicine and Biology and associate editor of the Journal of Applied Clinical Medical Physics. In the past six years at Zhejiang University, Dr. Niu has mentored six undergraduate students, five master students, five Ph.D. students, and two postdocs. After graduation, they have been offered to pursue higher academic achievements in the US e.g., Johns Hopkins, UT Austin, etc. or work in large international corporations e.g., Intel, Huawei, etc. .

Notes

Refreshments will be served.