Amir Pourmorteza Fully 3D Recon 2015
[email protected] May 31 -June 4 Fully 3D Conference 2015 Reconstruction of Difference using Prior Images and a Penalized-Likelihood Framework Amir Pourmorteza, Hao Dang, Jeffrey Siewerdsen, J. Webster Stayman Department of Biomedical Engineering, Johns Hopkins University Johns Hopkins University Schools of Medicine and Engineering Acknowledgements AIAI Laboratory Advanced Imaging Algorithms and Instrumentation Lab aiai.jhu.edu
[email protected] I-STAR Laboratory Imaging for Surgery, Therapy, and Radiology istar.jhu.edu
[email protected] Faculty and Scientists Clinical Partners Students Industry Partners Tharindu De Silva Junghoon Lee Qian Cao Lyn Hibbard Grace Gang John Wong Hao Dang Xiao Han Aswin Mathews Sarah Ouadah Markus Eriksson Amir Pourmorteza Sureerat Reaungamornrat Himu Shukla Jeffrey Siewerdsen Steven Tilley II Alejandro Sisniega Ali Uneri J. Webster Stayman Jennifer Xu Shiyu Xu Thomas Yi Wojciech Zbijewski Funding This work was support, in part, by an academic-industry partnership grant from Elekta. The I-STAR Laboratory (istar.jhu.edu) and The AIAI Laboratory (aiai.jhu.edu) Department of Biomedical Engineering Johns Hopkins University 1 Amir Pourmorteza Fully 3D Recon 2015
[email protected] May 31 -June 4 Sequential Imaging: IGRT Planning MDCT Subsequent Cone-Beam CTs . High-fidelity data Low-fidelity data High exposure Less radiation exposure per scan Sequential Imaging: IGRT Planning MDCT Subsequent Cone-Beam CTs . High-fidelity data Low-fidelity data High exposure Less radiation exposure per scan The I-STAR Laboratory (istar.jhu.edu) and The AIAI Laboratory (aiai.jhu.edu) Department of Biomedical Engineering Johns Hopkins University 2 Amir Pourmorteza Fully 3D Recon 2015
[email protected] May 31 -June 4 Sequential Imaging: Brain Perfusion and Cardiac CT Low-fidelity High-fidelity Low exposure High exposure Video from: J.