Encrypted | Login

2018 AAPM Annual Meeting - Session: AAPM Grand Challenges Symposium: Image Reconstruction for 4D-CBCT



 Data-Driven Respiratory Motion Compensation for 4D-CBCT Using Groupwise Deformable Registration (M. Riblett, G. Hugo)
Matthew J Riblett Virginia Commonwealth University
riblettmj@vcu.edu
When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.



All videos in this session:
The AAPM Working Group on Grand Challenges - Samuel Armato, PhD The University of Chicago
NCI Resources and Support for Imaging Challenges - Keyvan Farahani, PhD National Cancer Institute
SPARE: Sparse-view Reconstruction Challenge for 4D Cone-beam CT - Chun-Chien Shieh, The University of Sydney
4D-CBCT reconstruction using prior knowledge and deformation models (Y. Zhang, Z. Jiang, X. Liu, L. Ren) - Yawei Zhang, Duke University Medical Center
Motion-compensation and motion-aware temporal regularization for improved 4D-CBCT reconstruction (C. Mory, S. Rit) - Chun-Chien Shieh, The University of Sydney (for Cyril Mory and Simon Rit)
Q & A -
Graph includes 27 member loads and 396 non-member loads (423 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.