Encrypted | Login

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

The AAPM Working Group on Grand Challenges
Samuel Armato, PhD The University of Chicago

Handout(s): 137-41582-452581-135665.pdf
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:
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
Data-Driven Respiratory Motion Compensation for 4D-CBCT Using Groupwise Deformable Registration (M. Riblett, G. Hugo) - Matthew J Riblett Virginia Commonwealth University
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 26 member loads and excludes non-members. Include? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.